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🎙️ Artificially Intelligent Marketing: Episode 47 – Harrison Wade on “Why AI is NOT the Easy Button”
Welcome back to Artificially Intelligent Marketing! In this episode, Paul Avery is joined by special guest Harrison Waid, co-founder of Succession. Harrison brings hands-on experience from the life sciences sector, revealing how his team is redefining sales and marketing through AI innovation.
From Business to Science Harrison shares his journey from software sales to leading go-to-market strategies for life science firms—where tools common in SaaS are still a rarity. He explains how this gap creates both challenge and opportunity for innovation.
AI in Sales Enablement & Marketing Discover why sales teams often lag behind marketing in tech adoption, and why tech-fluent, AI-first team members are essential for orchestrating automated workflows that actually deliver results.
What Works—and What Doesn’t Harrison details how his team uses robust context, training, and tools like Clay to supercharge outreach—highlighting the danger of treating AI like an “easy button.” A 27-page context document? Essential, not overkill.
Real AI Workflows, Not Magic Forget AGI hype—this episode is packed with practical advice on using AI for prospect research, workflow automation, and creative outreach. Think personalised videos, Suno-generated songs, and campaigns that cut through the noise.
Building the Future: Micro-Apps & Vibe Coding Paul and Harrison explore how tools like Replit and Lovable let marketers build lead magnets and custom web apps without coding skills—ushering in a new era of “vibe coding.”
Human Creativity Still Wins AI can scale output, but human creativity drives connection. Harrison argues that empathy, emotion, and storytelling remain the ultimate differentiators in AI-driven marketing.
Arms Race or Open Water? Will personalised AI content saturate the market? Harrison says no—most teams lack the expertise or drive to execute at scale. There’s still huge opportunity for those willing to experiment.
Actionable Advice
- If you love tinkering, start small and iterate.
- If you want results, partner with builders who do.
- For life sciences growth, Succession Bio can help scale your top-of-funnel efforts.
Key Takeaways
- AI isn’t the easy button—human creativity and context win.
- Automation is messy—curiosity and patience pay off.
- Personalisation breaks through—even songs can sell.
- The emerging “conductor” role is key: orchestrating tools to outcomes.
Connect & Challenge Want to stand out? Combine creativity and AI—send us a Suno-generated song about this episode using the YouTube transcript!
Contact For top-of-funnel support or AI workflow advice, reach out to Harrison at Succession Bio.
Subscribe to Artificially Intelligent Marketing for stories, workflows, and insights on AI in marketing—new episodes every week.
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رونوشت 🔗
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Welcome to artificially intelligent marketing,
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a weekly podcast where we stay on top of the
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latest trends, tips, and tools in the world of
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marketing AI, helping you get the best results
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from your marketing efforts. Now let's join our
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hosts, Paul Avery and Martin Broadhurst. Here
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we are again on Artificially Intelligent Marketing,
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and we're a second episode back and already know
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Martin Broadhurst, but that's all right because
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today we've brought in an upgrade. We've got
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my friend Harrison Wade from the life science
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industry. Harrison, how are you doing? Good,
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Paul. Great to be here. I'm so glad that you
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guys started this podcast up again. I think it
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was almost like two years ago or something. I
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remember listening to like pretty much every
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episode at the beginning and uh it was like oh
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it just disappeared for a while and i know we
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had chatted about you know why that was happening
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but uh which is obviously exciting but yeah i'm
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so glad it's back and obviously excited to be
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here yeah i love it why don't you tell the um
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the listeners a bit about yourself you know your
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story to date what you're doing now yeah Yeah,
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so actually, I fell into the life sciences later
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in my career. So I think most people in this
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industry started off probably in the lab and
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then maybe moved into commercial, into marketing
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later in their career. I actually started in
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software sales at the beginning of my career,
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selling to IT and then marketing, and then ultimately
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fell into the life sciences at a company called
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Synthego and joined relatively early to help
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build out the inside sales team, a lot of the
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systems processes, the sales training. implement
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functions there. And one of the things that we
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saw along the way was that a lot of reps were
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coming in. These really skilled reps would come
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in and say, wow, you guys have some of the best
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tools, some of the best tech, some of the best
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training that we've seen in the industry. I was
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like, well, that's interesting. I didn't think
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it was that cool. Because I think coming from
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the software world, a lot of the stuff was normal.
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It was very normalized. But I think even still
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today in the life sciences, like there are many
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companies that aren't even adopting technology
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that was used 10 years ago and maybe even more
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than that 15 years ago. And so, yeah, it was
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kind of like this opportunity where I moved to
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London. I was working with my co -founder, Nick,
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who I met at Synthago. And we started Succession
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together to really help bring a lot of this like.
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you know go -to -market tech tools uh training
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to the life science uh industry specifically
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so that's a lot of what we do today uh right
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now as we're talking we have a team of four and
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we have worked with around 75 different life
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science companies from everything from go to
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market so like running outbound campaigns paid
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ads content setting up different CRM systems
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and automations and sales training that we do
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as well. So far, I love it. It's amazing. And
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yeah, that's a bit. And I think one of the things
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we had talked about was when we started the agency,
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it was relatively early in the sort of AI hype
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cycle. And so I think Nick and I both realized
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very early on that we needed to be AI first.
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and ai forward so i know having your podcast
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in the early days as well was very useful so
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hearing you know you and martin's take on everything
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was you know i would say a great way for me to
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like understand all the different news and things
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that was going on and then i could go and dig
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deeper into it myself and then continue to to
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figure out how best we could use ai in our agency
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yeah i think one of the things i really loved
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about some of our early conversations that you
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know industry trade shows as an example is I
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would say you're a bit more like Martin than
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I am, which is that you two are very good at
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like having a vision for seeing how a process
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works now and being very good at iterating and
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testing different ways of bringing AI into that
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process. because you know every time i see you
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you've done some other really cool thing where
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i'm like i need to remember the details of this
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so i can talk about it on the podcast so it's
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much better to have you here to share the details
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so before we get into some of the ai bit i'm
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actually quite interested to know what from the
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sort of sales enablement operations rev ops type
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stuff what was the cool stuff that people were
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coming in and going hey this is cool that clearly
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most other people didn't have but you had So
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I would say even in the early days, it was something
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as simple as an email sequencing platform, something
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like a sales loft and outreach at the time were
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some of the main ones. And even today, we've
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trained companies that don't even have a tool
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to do that. And so there's still email sequencing
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platform is like the way where you can create
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a set of steps for a sequence. So like email
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one goes. goes out email two follows a couple
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days later email three follows after that right
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like a way to sort of organize um your top of
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funnel prospecting activity and we've talked
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to a couple companies many companies today actually
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that like don't even have these sorts of systems
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in place um typically they're more like the mid
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to large size um smaller companies i think are
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trying to figure out how to adopt this stuff
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quicker but it doesn't seem to be like the norm
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so like that was something really simple early
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on um I think another one was just how we sort
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of built out our training that we would do as
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well. So rather than having, say, a Google Doc
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with a bunch of links in it to go watch different
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trainings, or rather than just throwing somebody
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into the wolves, like, hey, now you're out in
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the field, go watch these people sell. We actually
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have structured training where we brought in
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different experts from the team, from across
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different departments as well. talk about the
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things that they were best at and train people
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at the things that they're best at and then structured
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it in like a formal like onboarding process that
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took place over a couple of months rather than
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like trying to fit it all within one week as
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an example. So I think those are some things
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off the top of my head. Yeah, that's really helpful
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because I think one of the things I really love
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to learn a bit more about today that I think
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would be valuable to the audience, even if most
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of our audience is working in marketing, I think
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a lot of these principles are going to be translatable.
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Where are you? now bringing AI into those, into
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the way you work, or some interesting processes
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and sort of tricks that you're using AI for.
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It's funny you actually talk about like, do these
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things apply to marketing? So I want to hit on
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that first, because I was probably like, I don't
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know, seven years ago, seven, eight years ago,
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it was like very much like the outbound motion
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should live in sales. Your SDR team should report
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into sales. And I was like, I was a hard stop.
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Should not report in marketing. That was my feeling
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at the time as a salesperson. However, now, I
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would say salespeople and sales leaders are typically
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not great with tech and tools and automation
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flows. It doesn't come naturally to a lot of
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them. Whereas marketing... a lot of marketing
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people are used to these things because they
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go into HubSpot, they've got to build out a workflow,
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email, nurture, whatever. They're more, I think,
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tech forward. And so I think a lot of these AI
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flows and these systems for not only inbound
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follow -up, as an example, but also outbound
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should probably live under marketing. And you
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should probably figure out who is the person
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who's AI first, loves the systems. bit of a nerd
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when it comes to like, you know, more like engineering
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type of stuff, and put them in charge of building
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this stuff out. Because the possibilities are
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crazy, like you could literally probably put
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AI in any workflow that you could possibly imagine.
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And so I'm happy to talk through some that we
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come up with. But I think also, the way other
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people should be thinking about this is, what
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are the processes that you're doing today? that
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are like a pain in the butt and then the first
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step is okay let's go and plug in ai into certain
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areas of it let's use automation tools in certain
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areas of it to just like pick like two or three
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of them and just like go use it and do it and
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get something that works because i think what
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a lot of people will do is they're like overwhelmed
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with how much how the potential of how they could
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use ai there's a bajillion different tools every
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day there's a new one coming out like The only
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reason I have X on my phone is because that is
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where all of the AI news comes and everything
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hits there first, right? So like, yeah, I'm like
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a hype cycle guy. So like, I get all hyped up
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around new stuff. So like, I see the new stuff
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come and I'm like, gotta go check it out. But
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I think for the average person, it's probably
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not like great. And so pick a couple of workflows,
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automate them, get an idea of how you can start
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to leverage this stuff. And then like the second
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phase is now how can you start to do things that
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you couldn't previously do before? And I think
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that's sort of the areas that you can start to
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get into. I love that. So let's do a thought
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experiment. We're going to do it. We're going
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to do it live. We're going to pick a workflow
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and we're going to be like, that's a pain in
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the bum. Let's talk through where AI could help
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in it. And then I think we'll get creative and
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think about, well, what new capabilities can
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we do in that area with an AI? So are there any
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particular workflows that spring to mind where
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you're like, okay, cool, here's an example. Yeah.
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I mean, I think the perfect one is, I mean, the
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obvious one is like sales prospecting, but the
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way I think about this is probably a little bit
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different than maybe others. And so when you
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were, if you are a human SDR and you're going
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to go prospect to somebody. you're probably going
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to go do some amount of research on this person,
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right? So you're going to probably go to their
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company website. You'll probably go to their
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LinkedIn profile. You may go try and find different
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publications. If you have like a side of leads
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account or something like that, like where are
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you going to go to go find the research that
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you're going to do? My guess is it's probably
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in the range of 10 minutes of research that you're
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going to do on this person. Then you're going
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to think about how do I take that information
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and then write a email or a LinkedIn message
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or prepare yourself for a call, whatever it is,
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to that person. So today, AI can basically reverse
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engineer different automation tools, can reverse
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engineer that 10 minutes of research upfront,
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and then also draft that sort of context into
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a message for you to where you are editing versus
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doing all of that work yourself. So you can imagine
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you got like a hundred prospects you want to
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go after. You could have that list like ready
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for you to review in the morning rather than
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like having to spend whatever, a thousand minutes
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going through research on each of them. But what
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type of tools, like, is that, is that like a
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chat bot that you say, here's a list of people
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do the research and you get up in the morning
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and then you've got an output on or an email
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or, you know, how does that actually translate
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into real world application? Yeah, and I think
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this is also where a lot of people run into issues
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with AI is they'll try and shove all of this
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into a chat GPT where it's like, hey, here's
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the person I'm trying to reach out to. Do the
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research for me and write the message. And that
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is always going to be terrible. And I think that's
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where you get people that say, oh, it's so bad.
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AI messaging is terrible. And it's like, yeah,
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because you're using it terribly. If I think
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about... There's probably three core things that
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you have to have as just context for these models
00:12:02.740 --> 00:12:05.899
to work effectively. And if you think of any
00:12:05.899 --> 00:12:08.340
AI model, the context is the most important piece.
00:12:08.639 --> 00:12:10.700
That's all of the information that you're providing
00:12:10.700 --> 00:12:13.039
it upfront so that it can provide you with the
00:12:13.039 --> 00:12:16.059
output that you want. And I'd say those three
00:12:16.059 --> 00:12:18.759
things are information about your company and
00:12:18.759 --> 00:12:20.899
your product services, what you do, what you
00:12:20.899 --> 00:12:23.039
help solve, problems that you solve for people.
00:12:24.000 --> 00:12:25.600
information about the person that you're reaching
00:12:25.600 --> 00:12:27.419
out to right so that's going to be the company
00:12:27.419 --> 00:12:30.480
information their publications like i don't know
00:12:30.480 --> 00:12:32.559
different products they might use linkedin information
00:12:32.559 --> 00:12:35.519
that sort of thing and then how you wanted to
00:12:35.519 --> 00:12:38.639
write the message and i think people don't really
00:12:38.639 --> 00:12:40.940
think about these three things in tandem as being
00:12:40.940 --> 00:12:44.279
like a core part of like the context engine And
00:12:44.279 --> 00:12:46.279
the third one I was talking about is how you
00:12:46.279 --> 00:12:48.320
wanted to write the message is so important because
00:12:48.320 --> 00:12:50.519
AI is not going to be good at writing the message.
00:12:50.679 --> 00:12:53.720
So we have this 27 page document that we use
00:12:53.720 --> 00:12:57.080
to basically as contacts, we made a custom GPT
00:12:57.080 --> 00:13:00.860
with it to help us write the messages exactly
00:13:00.860 --> 00:13:03.879
how we want with different sets of frameworks
00:13:03.879 --> 00:13:05.519
and different ways that we might want to write
00:13:05.519 --> 00:13:07.860
it because not everybody responds to the exact
00:13:07.860 --> 00:13:09.879
same sets of messaging. So we need different
00:13:09.879 --> 00:13:12.019
variations of messaging that we're going to use
00:13:12.019 --> 00:13:14.759
in there. And again, that's just like one of
00:13:14.759 --> 00:13:16.639
the three pieces of context that I'm requiring.
00:13:17.379 --> 00:13:20.039
I love that. I'm glad that you mentioned like
00:13:20.039 --> 00:13:24.259
26, it's 27 page briefing document, basically.
00:13:24.399 --> 00:13:27.879
Like when you're saying you must give the models
00:13:27.879 --> 00:13:32.200
context, five bullet points instead of one bullet
00:13:32.200 --> 00:13:34.320
point is not what you're saying. You are saying
00:13:34.320 --> 00:13:39.259
basically an almost. Like a more thorough brief
00:13:39.259 --> 00:13:41.179
than you'd give a human, really, because, of
00:13:41.179 --> 00:13:42.919
course, humans have real world experience to
00:13:42.919 --> 00:13:44.679
draw upon. They might have written messages in
00:13:44.679 --> 00:13:46.419
the past that work for them that they can lean
00:13:46.419 --> 00:13:49.679
into. But actually, you're probably giving examples
00:13:49.679 --> 00:13:52.799
that it can mimic and all this other stuff all
00:13:52.799 --> 00:13:54.500
in this one document. Is that how that works?
00:13:55.159 --> 00:13:57.799
Yeah, there's essentially rules that we have
00:13:57.799 --> 00:14:00.940
of do's and don'ts. Then there are frameworks.
00:14:01.019 --> 00:14:03.659
Then there are example messages. And then there's
00:14:03.659 --> 00:14:07.059
also spam words to avoid. These are words that
00:14:07.059 --> 00:14:09.139
are going to get caught up in spam. If you use
00:14:09.139 --> 00:14:11.600
the word free in your message or you use the
00:14:11.600 --> 00:14:14.000
word promotion, those are more likely to end
00:14:14.000 --> 00:14:17.299
up in spam. all of these things sort of like
00:14:17.299 --> 00:14:20.519
cobbled together in this document um you're sort
00:14:20.519 --> 00:14:22.460
of like outline if you're not familiar with like
00:14:22.460 --> 00:14:26.080
markdown format um like markdown is a way that
00:14:26.080 --> 00:14:29.559
ai is really good at understanding how things
00:14:29.559 --> 00:14:31.580
are structured and so if you can structure your
00:14:31.580 --> 00:14:34.279
documents or your context in markdown format
00:14:34.279 --> 00:14:36.460
um it's going to be better too it's going to
00:14:36.460 --> 00:14:38.519
be easier for the ai to interpret understand
00:14:38.519 --> 00:14:42.220
that content i'm glad you mentioned markdown
00:14:42.220 --> 00:14:44.909
as well i got two bookmarks that get hammered
00:14:44.909 --> 00:14:47.789
multiple times a day in my in my browser one
00:14:47.789 --> 00:14:50.870
turns google doc into markdown and the other
00:14:50.870 --> 00:14:53.490
one turns an entire web page into cleaned up
00:14:53.490 --> 00:14:58.129
markdown um so that you can give ai tools structured
00:14:58.129 --> 00:15:00.250
content that they can that they can understand
00:15:00.250 --> 00:15:02.490
and it's these i think these are the little things
00:15:02.490 --> 00:15:05.330
that you pick up over time that probably almost
00:15:05.330 --> 00:15:07.970
seem not meaningful to share with other people
00:15:07.970 --> 00:15:11.230
um but it's made a big difference for me yeah
00:15:12.450 --> 00:15:14.789
Yeah, we think of them as second nature, right?
00:15:14.850 --> 00:15:16.330
Because we've done it so much. So it's like,
00:15:16.389 --> 00:15:18.610
we've toyed around with them and played with
00:15:18.610 --> 00:15:20.610
them so much. And I think that's the other thing
00:15:20.610 --> 00:15:23.769
that a lot of people get stuck on is they try
00:15:23.769 --> 00:15:25.710
something doesn't look good, doesn't give them
00:15:25.710 --> 00:15:27.350
the output that they want. And they don't spend
00:15:27.350 --> 00:15:29.590
the time to really dig into these tools. Like,
00:15:29.649 --> 00:15:32.169
I posted something the other day, which I'm sure
00:15:32.169 --> 00:15:33.909
we can talk about here in a sec. But like, I
00:15:33.909 --> 00:15:36.149
think a very underutilized skill is like the
00:15:36.149 --> 00:15:39.090
technical prowess of understanding like APIs
00:15:39.090 --> 00:15:43.059
and webhooks. like how data flows between different
00:15:43.059 --> 00:15:46.860
systems because if you're able to do that it's
00:15:46.860 --> 00:15:49.240
a lot easier to like connect disparate data sources
00:15:49.240 --> 00:15:53.179
um and then also like pass data from one tool
00:15:53.179 --> 00:15:55.279
to another where one ai tool might be really
00:15:55.279 --> 00:15:57.100
good at one thing and another ai tool might be
00:15:57.100 --> 00:16:00.440
good at another thing um yeah so i think there's
00:16:00.440 --> 00:16:02.399
it's like an underrated skill there so are you
00:16:02.399 --> 00:16:04.299
building some of those types of things and can
00:16:04.299 --> 00:16:06.279
you give me an example i mean we i asked a minute
00:16:06.279 --> 00:16:10.129
ago about you know, having 100 leads and then
00:16:10.129 --> 00:16:13.149
coming back in the morning and having 100 prospecting
00:16:13.149 --> 00:16:15.289
emails to just double check, which you can't
00:16:15.289 --> 00:16:17.470
do with ChatGPT, right? It's a conversational
00:16:17.470 --> 00:16:19.590
interface, not a here's a big job, come back
00:16:19.590 --> 00:16:22.690
in a day with the results. But you could build
00:16:22.690 --> 00:16:25.309
something like that if you were comfortable using
00:16:25.309 --> 00:16:27.590
APIs and stuff. So are those the types of things
00:16:27.590 --> 00:16:31.490
you've been playing with? Yeah, I mean, our command
00:16:31.490 --> 00:16:34.830
center, if you will, is this tool called Clay.
00:16:35.320 --> 00:16:37.940
um where if you're in sales on linkedin you've
00:16:37.940 --> 00:16:40.220
probably at some point seen somebody post a clay
00:16:40.220 --> 00:16:43.320
table or talk about clay they've like gotten
00:16:43.320 --> 00:16:47.039
an insane valuation um over the last couple of
00:16:47.039 --> 00:16:49.460
months and years but essentially it's like a
00:16:49.460 --> 00:16:52.500
smart spreadsheet not to be confused with smart
00:16:52.500 --> 00:16:55.840
sheets but it's a smart spreadsheet where each
00:16:55.840 --> 00:16:58.559
row is like a record so it can either be a company
00:16:58.559 --> 00:17:01.289
or an individual person And then each column
00:17:01.289 --> 00:17:05.150
is a different data point or enrichment or where
00:17:05.150 --> 00:17:08.410
you can make a different API call. So as an example,
00:17:08.529 --> 00:17:10.970
let's add a LinkedIn profile for somebody I wanted
00:17:10.970 --> 00:17:13.690
to target. Well, I could use Clay to enrich that
00:17:13.690 --> 00:17:16.049
LinkedIn profile. Now I have all the information
00:17:16.049 --> 00:17:20.170
in Clay in this one place about them and their
00:17:20.170 --> 00:17:23.069
LinkedIn profile. I could then pull out, say,
00:17:23.089 --> 00:17:25.509
the company that they work at, then go and get
00:17:25.509 --> 00:17:27.509
the domain for that company, go to the company
00:17:27.509 --> 00:17:29.910
website, scrape the company website, understand
00:17:29.910 --> 00:17:31.930
what's going on, maybe go visit their pipeline
00:17:31.930 --> 00:17:34.450
page, what therapeutic areas are they going after,
00:17:34.569 --> 00:17:36.769
what targets are they going after. Those then
00:17:36.769 --> 00:17:38.990
get extrapolated into new fields within Clay.
00:17:40.349 --> 00:17:46.730
Then I could leverage different AI models to
00:17:46.730 --> 00:17:49.089
then interpret all of this information that we
00:17:49.089 --> 00:17:50.950
gathered about this person to come up with unique
00:17:50.950 --> 00:17:53.230
insights i could then feed it information about
00:17:53.230 --> 00:17:55.109
my company and you can sort of like build out
00:17:55.109 --> 00:17:57.970
this whole table where then at the end you have
00:17:57.970 --> 00:18:00.769
this like you know message that gets generated
00:18:00.769 --> 00:18:03.390
using all of this context from these different
00:18:03.390 --> 00:18:06.450
fields and then like whatever you could send
00:18:06.450 --> 00:18:09.309
that message to your graphs in gmail or you could
00:18:09.309 --> 00:18:11.069
send it straight into your email sequence or
00:18:11.069 --> 00:18:13.910
you could have it um like get pushed to a google
00:18:13.910 --> 00:18:16.109
doc that you could review there's all sorts of
00:18:16.109 --> 00:18:18.269
like cool ways that you could do this stuff um
00:18:18.269 --> 00:18:21.490
and each of these other things along the way
00:18:21.490 --> 00:18:24.190
could also be a tool so like i know you're a
00:18:24.190 --> 00:18:27.269
big fan of heijin so heijin has an api so if
00:18:27.269 --> 00:18:30.329
you wanted to write a custom video message to
00:18:30.329 --> 00:18:33.730
somebody as an example using ai like heijin could
00:18:33.730 --> 00:18:36.210
be a you know one of these columns that you could
00:18:36.210 --> 00:18:38.670
enrich with a script to how you would send a
00:18:38.670 --> 00:18:41.589
message to that person and so By understanding
00:18:41.589 --> 00:18:43.529
how these tools talk to each other, you can do
00:18:43.529 --> 00:18:45.710
some really cool stuff. Yeah, that's awesome.
00:18:45.869 --> 00:18:49.170
So just to play that back, all these information
00:18:49.170 --> 00:18:52.490
sources being pulled into this sheet, it's interpreting
00:18:52.490 --> 00:18:55.490
them and then writing, say, a prospecting email.
00:18:55.609 --> 00:18:57.230
But like you say, you could even push that as
00:18:57.230 --> 00:18:58.849
a script. You could then write a script that
00:18:58.849 --> 00:19:00.569
then gets pushed to HeyGen, and then you've got
00:19:00.569 --> 00:19:03.789
a video embedded in your email as well. And if
00:19:03.789 --> 00:19:04.970
you want to write a different type of LinkedIn
00:19:04.970 --> 00:19:08.029
message, so you could have an example of, here's
00:19:08.029 --> 00:19:10.769
how we write emails. Here's how we write LinkedIn
00:19:10.769 --> 00:19:12.970
messages. Here's how we create video scripts.
00:19:13.210 --> 00:19:15.769
That could all be in one row. And then the output
00:19:15.769 --> 00:19:18.289
is now you've got three distinct messages across
00:19:18.289 --> 00:19:20.670
three different channels for that one individual.
00:19:21.509 --> 00:19:25.069
I love that. And I think that is a critical point
00:19:25.069 --> 00:19:30.089
because as these systems get easier to use, you
00:19:30.089 --> 00:19:31.750
know most people are going to be able to figure
00:19:31.750 --> 00:19:34.170
out a way of doing this as scale but probably
00:19:34.170 --> 00:19:36.849
averagely because they probably can't put that
00:19:36.849 --> 00:19:39.650
much time into the rules and the prompts whereas
00:19:39.650 --> 00:19:42.950
if you really want to be able to stand out it's
00:19:42.950 --> 00:19:46.910
the it's the 27 page context that drives the
00:19:46.910 --> 00:19:49.930
production of your script that makes it a world
00:19:49.930 --> 00:19:52.690
-class script that is the thing that really hits
00:19:52.690 --> 00:19:54.890
home with the audience not the fact that you
00:19:54.890 --> 00:19:57.940
can automate it as scale right Yeah, everybody's
00:19:57.940 --> 00:19:59.599
going to be able to do this stuff. They can already
00:19:59.599 --> 00:20:04.180
today, right? And I think if you get emails from
00:20:04.180 --> 00:20:07.819
people and you're like, this is clearly AI, that
00:20:07.819 --> 00:20:09.779
is, again, I think your point is that is the
00:20:09.779 --> 00:20:12.700
average, right? What you need to do is play with
00:20:12.700 --> 00:20:15.259
it so much and understand how these models work
00:20:15.259 --> 00:20:19.000
to such like a deep understanding of them where
00:20:19.000 --> 00:20:23.200
you can figure out how to force them to make
00:20:23.200 --> 00:20:25.859
it look human, right? It doesn't have those AI
00:20:25.859 --> 00:20:27.960
tendencies, right? So if you do this enough times,
00:20:27.980 --> 00:20:30.319
you can start to read all these AI tendencies.
00:20:30.460 --> 00:20:32.440
You see all these AI tendencies, and then you
00:20:32.440 --> 00:20:34.099
update your document, which is like, don't do
00:20:34.099 --> 00:20:36.099
this. Don't do that. Don't put an em dash, right?
00:20:36.359 --> 00:20:39.740
Don't say like, don't use this. Like, what is
00:20:39.740 --> 00:20:41.880
the cadence that it uses all the time? It loves
00:20:41.880 --> 00:20:45.240
to say, it's not just this. Yeah. Like that type
00:20:45.240 --> 00:20:47.140
of stuff. It's like, go human rights that way.
00:20:47.240 --> 00:20:49.779
Right. Or if it is, it's very few. And so you
00:20:49.779 --> 00:20:52.500
have to like. play with it and tweak it and constantly
00:20:52.500 --> 00:20:55.240
be updating this stuff. And I think people want
00:20:55.240 --> 00:20:58.759
AI to be the easy button, but it's not the easy
00:20:58.759 --> 00:21:01.920
button. It still requires a lot of work to constantly
00:21:01.920 --> 00:21:05.660
be iterating and improving it over time. Yeah,
00:21:05.720 --> 00:21:08.119
we used to call it, going back several years
00:21:08.119 --> 00:21:11.099
ago when Martin and I were doing training and
00:21:11.099 --> 00:21:13.460
consulting around this stuff, we used to call
00:21:13.460 --> 00:21:16.140
it the alien intern. And I think for all of the
00:21:16.140 --> 00:21:18.779
improvements, I still think it's an alien intern.
00:21:18.900 --> 00:21:24.640
It needs... context and guidance that the problem
00:21:24.640 --> 00:21:27.079
is you see things thrown around like gpt5 is
00:21:27.079 --> 00:21:29.960
at phd level and that has a bunch of connotations
00:21:29.960 --> 00:21:32.380
associated with it rightly or wrongly that it's
00:21:32.380 --> 00:21:34.660
going to have a certain intelligence or level
00:21:34.660 --> 00:21:37.900
of capabilities um it doesn't have 15 years of
00:21:37.900 --> 00:21:40.400
sales prospecting experience it doesn't have
00:21:40.400 --> 00:21:42.900
15 years of marketing experience in the real
00:21:42.900 --> 00:21:46.160
world seeing what works and what doesn't what
00:21:46.160 --> 00:21:47.980
it does have though is it has the average of
00:21:47.980 --> 00:21:51.140
all of this stuff right which is i think where
00:21:51.140 --> 00:21:54.740
you get the average of the result so it's like
00:21:54.740 --> 00:21:58.160
it's got phd level experience meaning like it
00:21:58.160 --> 00:22:00.559
can answer really complex problems and questions
00:22:00.559 --> 00:22:02.619
but then everything else is trained on is the
00:22:02.619 --> 00:22:05.019
average so it's like it's been trained on millions
00:22:05.019 --> 00:22:07.839
probably of average emails not like the best
00:22:07.839 --> 00:22:10.559
emails or it's been trained on millions of like
00:22:10.559 --> 00:22:12.720
marketing campaigns that are like the average
00:22:12.720 --> 00:22:15.980
marketing campaign and so like to your point
00:22:16.480 --> 00:22:18.380
how do you get how do you be excellent it's like
00:22:18.380 --> 00:22:20.440
it still has that human component how do you
00:22:20.440 --> 00:22:25.059
how do you use the human creativity to like then
00:22:25.059 --> 00:22:27.079
leverage ai with that like you still need the
00:22:27.079 --> 00:22:29.240
human creativity element yeah it's going to be
00:22:29.240 --> 00:22:30.920
like a normal distribution curve probably right
00:22:30.920 --> 00:22:32.900
it's like it's probably got access to loads of
00:22:32.900 --> 00:22:35.079
blog posts about how to write the best emails
00:22:35.079 --> 00:22:39.579
um but by definition you know the very best emails
00:22:39.579 --> 00:22:42.579
are the small amount of data in that population
00:22:42.579 --> 00:22:44.539
right at the far end of that normal distribution
00:22:45.279 --> 00:22:46.859
And when it's trying to work out the patterns,
00:22:47.019 --> 00:22:49.259
it's going to drift into the middle. And that's
00:22:49.259 --> 00:22:52.319
what's going to give you middling results. We
00:22:52.319 --> 00:22:55.940
touched on this in a few ways there, but I'd
00:22:55.940 --> 00:23:00.279
love to get your take on the importance of humans
00:23:00.279 --> 00:23:05.119
and creativity. And what constitutes the misuse
00:23:05.119 --> 00:23:08.819
of AI in sales prospecting and sales process?
00:23:09.549 --> 00:23:12.650
Copy and pasting and sending is the misuse, right?
00:23:12.829 --> 00:23:15.309
It's like I go, I get the result. I'm going to
00:23:15.309 --> 00:23:17.289
copy it. I'm going to paste it and I hit send,
00:23:17.450 --> 00:23:21.210
or I just assume that it's correct. AI still
00:23:21.210 --> 00:23:23.150
does hallucinate no matter how much content and
00:23:23.150 --> 00:23:24.509
information that you give it. So you'd still
00:23:24.509 --> 00:23:27.849
have to double check these things. And so I think
00:23:27.849 --> 00:23:31.230
that is probably the biggest misuse. That's probably
00:23:31.230 --> 00:23:33.819
across the board too. It's like I've seen. stuff
00:23:33.819 --> 00:23:36.960
is just like factually inaccurate um that's like
00:23:36.960 --> 00:23:39.119
posted online and blog posts and stuff like well
00:23:39.119 --> 00:23:41.240
i don't know where you got that from that's not
00:23:41.240 --> 00:23:44.019
real um and so i think there's still like one
00:23:44.019 --> 00:23:47.180
the human in the loop to verify a lot of things
00:23:47.180 --> 00:23:51.000
but then also like it is not that creative right
00:23:51.000 --> 00:23:53.059
it's trained on stuff that's already occurred
00:23:53.059 --> 00:23:56.400
so it's not going to come up with new novel concepts
00:23:56.400 --> 00:23:58.460
very well maybe that'll change in the future
00:23:58.460 --> 00:24:00.180
but i think today it's just not really there
00:24:00.180 --> 00:24:03.619
and so you still need the human creativity which
00:24:03.619 --> 00:24:06.460
I think comes from really understanding your
00:24:06.460 --> 00:24:09.420
customer and what your customer wants and needs
00:24:09.420 --> 00:24:11.720
and how your customer thinks, and then figuring
00:24:11.720 --> 00:24:15.660
out how you can provide novel, interesting content,
00:24:15.960 --> 00:24:21.880
insights, value to them. And then you basically
00:24:21.880 --> 00:24:25.140
force AI to your will, if you will, right? Which
00:24:25.140 --> 00:24:26.960
is like, how do I force it to get the outputs
00:24:26.960 --> 00:24:29.180
that I want that achieve that outcome versus
00:24:29.180 --> 00:24:31.240
going to it and like, give me five ideas on a
00:24:31.240 --> 00:24:35.349
blog post idea, you know? Yeah, in a slightly
00:24:35.349 --> 00:24:37.130
tangential way, I've been watching some of the
00:24:37.130 --> 00:24:39.970
Sora 2 examples that have been coming out. One
00:24:39.970 --> 00:24:45.130
of my favorites is, it's like a cops style sort
00:24:45.130 --> 00:24:50.069
of road chase with Super Mario. And they try
00:24:50.069 --> 00:24:52.369
to pull him over. And it's Super Mario from Mario
00:24:52.369 --> 00:24:54.089
Kart. And if you haven't seen it, you should
00:24:54.089 --> 00:24:56.750
Google it. It's absolutely brilliant. Why do
00:24:56.750 --> 00:24:59.829
I like that? If AI had come up with that idea
00:24:59.829 --> 00:25:02.470
and then executed it. it would mean far less
00:25:02.470 --> 00:25:06.589
to me than me thinking, who is the genius who
00:25:06.589 --> 00:25:08.829
thought, you know what would be cool? I'll ask
00:25:08.829 --> 00:25:12.490
Sora to bring this idea to life for me. That's
00:25:12.490 --> 00:25:15.170
the interesting part to me. I don't want to go
00:25:15.170 --> 00:25:18.569
and watch a load of AI videos by AI, even if
00:25:18.569 --> 00:25:22.029
AI gets quite creative, because it's like the
00:25:22.029 --> 00:25:24.829
respect that I have for the creativity of the
00:25:24.829 --> 00:25:27.269
person who leveraged the tool that makes me like
00:25:27.269 --> 00:25:31.369
it, not just AI on. on steroids doing everything
00:25:31.369 --> 00:25:33.789
on its own and to your point i think when you
00:25:33.789 --> 00:25:38.549
get an email from a from a from an sdr or whoever
00:25:38.549 --> 00:25:41.430
that's been well thought out well researched
00:25:41.430 --> 00:25:45.430
if it tries to be clever or funny really feels
00:25:45.430 --> 00:25:48.509
genuinely human in it then you can empathize
00:25:48.509 --> 00:25:50.329
with it if you think the ai just came up with
00:25:50.329 --> 00:25:53.029
the jokes this doesn't hits the same right yeah
00:25:53.029 --> 00:25:56.150
jokes suck they're really bad it's very rare
00:25:56.150 --> 00:25:59.880
that you find a good one absolutely i think to
00:25:59.880 --> 00:26:02.359
your point like uh along the lines of the mario
00:26:02.359 --> 00:26:04.680
video uh utah i think you guys talked about this
00:26:04.680 --> 00:26:07.720
in your last episode which is the the yeti um
00:26:07.720 --> 00:26:10.799
like there was i can't remember the brand now
00:26:10.799 --> 00:26:13.099
which is strange but i remember the commercial
00:26:13.099 --> 00:26:15.220
they made like dozens of these different commercials
00:26:15.220 --> 00:26:19.339
with this like giant yeti you know snow abominable
00:26:19.339 --> 00:26:22.559
snowmen thing and uh like it was very clearly
00:26:22.559 --> 00:26:24.759
ai but it was so creative and interesting it's
00:26:24.759 --> 00:26:27.900
like him skydiving out of a plane and like holding
00:26:27.900 --> 00:26:30.119
up like the product or whatever right like there's
00:26:30.119 --> 00:26:32.799
some there's really cool like brand stuff that
00:26:32.799 --> 00:26:35.299
they were able to do which was clearly ai but
00:26:35.299 --> 00:26:37.119
it was creative and so then it was able to go
00:26:37.119 --> 00:26:39.839
viral so you kind of have this concept like this
00:26:39.839 --> 00:26:41.680
we're probably at this interesting inflection
00:26:41.680 --> 00:26:44.599
point where you could really get creative with
00:26:44.599 --> 00:26:48.259
like how your team is using ai to capture attention
00:26:49.339 --> 00:26:51.960
And as you probably know, in the life sciences,
00:26:51.980 --> 00:26:55.660
like the general marketing is quite bland a lot
00:26:55.660 --> 00:26:58.579
of the time. Right. A lot of people aren't willing
00:26:58.579 --> 00:27:03.339
to push the needle on the creative side and be
00:27:03.339 --> 00:27:07.299
risky. What a massive opportunity. Plus, I also
00:27:07.299 --> 00:27:09.460
think there is appetite for people who want to
00:27:09.460 --> 00:27:12.700
see something interesting, even from life science
00:27:12.700 --> 00:27:14.980
brands. I think one of the common pushbacks you'll
00:27:14.980 --> 00:27:17.200
always get is, you know, scientists are not.
00:27:17.450 --> 00:27:19.589
looking for us to entertain them they want the
00:27:19.589 --> 00:27:22.690
most robust reliable reagents and instruments
00:27:22.690 --> 00:27:24.650
and tools so that they can trust their research
00:27:24.650 --> 00:27:27.109
and it's like why can't it be both why is it
00:27:27.109 --> 00:27:31.009
why does it have to be one right yeah they still
00:27:31.009 --> 00:27:33.569
scroll tiktok and instagram and whatever they
00:27:33.569 --> 00:27:35.930
laugh at beams like same thing for executives
00:27:35.930 --> 00:27:37.690
like people think you have to be so stuffy when
00:27:37.690 --> 00:27:39.710
you're reaching out to executives again they
00:27:39.710 --> 00:27:42.069
are people they laugh at jokes like they have
00:27:42.069 --> 00:27:45.079
senses of humor I don't think that everything
00:27:45.079 --> 00:27:51.900
has to be stuffy, perfectly rehearsed and pass
00:27:51.900 --> 00:27:54.819
through 17 rounds of legal review before it's
00:27:54.819 --> 00:27:57.960
able to see the light of day. There's always
00:27:57.960 --> 00:27:59.720
going to be businesses that have to do that.
00:28:00.240 --> 00:28:02.380
And there are always going to be businesses that,
00:28:02.440 --> 00:28:04.359
for whatever reason, absolutely feel they need
00:28:04.359 --> 00:28:06.839
to err on the side of caution. But if you're
00:28:06.839 --> 00:28:09.140
in a small or mid -sized business and you don't
00:28:09.140 --> 00:28:11.250
necessarily have those constraints, this has
00:28:11.250 --> 00:28:13.369
to be a competitive advantage that you at least
00:28:13.369 --> 00:28:17.990
look into, right? Because we're so deluged with
00:28:17.990 --> 00:28:19.769
content and that's going to get worse and worse
00:28:19.769 --> 00:28:22.769
and worse with AI. You have to break the pattern.
00:28:23.390 --> 00:28:25.710
And one way to do that is to connect with people
00:28:25.710 --> 00:28:27.609
emotionally or to make them laugh, right? And
00:28:27.609 --> 00:28:30.450
so ultimately, as much as the feature benefit
00:28:30.450 --> 00:28:32.750
set of your latest microscope is probably really
00:28:32.750 --> 00:28:35.769
interesting for the research applications it
00:28:35.769 --> 00:28:38.690
opens up and enables, that's not pattern matching
00:28:38.690 --> 00:28:41.579
in amongst all this other stuff, right? yeah
00:28:41.579 --> 00:28:43.480
it's like if you're to your point if you're going
00:28:43.480 --> 00:28:47.579
up against the you know big companies the thermos
00:28:47.579 --> 00:28:50.359
whoever the world like and you know that they
00:28:50.359 --> 00:28:52.539
have to have their like you know primmed and
00:28:52.539 --> 00:28:55.200
proper messaging that goes out and their specific
00:28:55.200 --> 00:28:58.579
ad copy that they have to use do something different
00:28:58.579 --> 00:29:01.099
right if you just go with the same thing using
00:29:01.099 --> 00:29:03.099
your color scheme like it's not going to stand
00:29:03.099 --> 00:29:06.980
out for sure um so just coming back quickly then
00:29:06.980 --> 00:29:09.559
to the misuse of ai because we talked about hygiene
00:29:09.559 --> 00:29:14.289
earlier and synthetic rep videos um you know
00:29:14.289 --> 00:29:16.630
a video that looks like harrison speaks like
00:29:16.630 --> 00:29:20.230
harrison is not harrison how do you feel about
00:29:20.230 --> 00:29:23.990
the use of the current set of video capabilities
00:29:23.990 --> 00:29:25.670
and then where do you think this is going to
00:29:25.670 --> 00:29:28.869
go in the future interesting i think that it's
00:29:28.869 --> 00:29:32.809
generally pretty good i think that unless somebody
00:29:32.809 --> 00:29:35.569
knows you it's hard to pick up some of the nuances
00:29:35.569 --> 00:29:37.750
like you will watch the video and be like that's
00:29:37.750 --> 00:29:39.569
not me like i don't talk like that that's not
00:29:39.569 --> 00:29:41.670
quite who i am but if you're sending it to somebody
00:29:41.670 --> 00:29:43.789
who has no idea who you are they don't know like
00:29:43.789 --> 00:29:48.190
your nuances or how your inflection in your voice
00:29:48.190 --> 00:29:52.049
um shows up and and it's only going to get better
00:29:52.049 --> 00:29:55.650
at that too but then The other thing I think
00:29:55.650 --> 00:29:58.769
you can lean into is just clearly saying, this
00:29:58.769 --> 00:30:02.349
is AI. I made this specifically with AI for you.
00:30:02.609 --> 00:30:04.930
Let me know what you think. People like something
00:30:04.930 --> 00:30:07.490
novel or something interesting. Just lean into
00:30:07.490 --> 00:30:10.670
it and add another piece of flavor when you're
00:30:10.670 --> 00:30:14.609
sending it in the text that calls out that it's
00:30:14.609 --> 00:30:17.269
AI or something. But then add something personal
00:30:17.269 --> 00:30:19.470
yourself in that text or something. There's a
00:30:19.470 --> 00:30:24.950
way that you can do this that stands out. And
00:30:24.950 --> 00:30:27.789
like you call it, like if you're like in a feed,
00:30:27.849 --> 00:30:29.690
right? It's like, I'll stop the scroll. It's
00:30:29.690 --> 00:30:31.269
like, I'm scrolling and it stops the scroll.
00:30:31.589 --> 00:30:33.769
Same thing. If I get an email and it's like,
00:30:33.769 --> 00:30:35.829
looks different. I'm going to like click on it
00:30:35.829 --> 00:30:37.730
and see what's up. Same thing on LinkedIn. If
00:30:37.730 --> 00:30:39.690
I'm in my messages and it looks different, I
00:30:39.690 --> 00:30:42.390
might click on it and see what it's about. So
00:30:42.390 --> 00:30:44.230
I think if you can find novel ways to do that,
00:30:44.289 --> 00:30:47.369
it's just going to improve your chances. Yeah.
00:30:47.430 --> 00:30:49.130
I think it creates quite an interesting arms
00:30:49.130 --> 00:30:52.170
race. I remember the first time I got a. like
00:30:52.170 --> 00:30:55.890
a wistier video that was just for me. And I watched
00:30:55.890 --> 00:30:58.190
it and I engaged with that company. They had
00:30:58.190 --> 00:30:59.750
a fairly interesting value. They've done the
00:30:59.750 --> 00:31:01.589
research on Biostrata. And I thought, actually,
00:31:01.650 --> 00:31:03.450
yeah, this person's put the effort in here. I'm
00:31:03.450 --> 00:31:05.609
going to engage in that. But it doesn't take
00:31:05.609 --> 00:31:07.450
very long for that to be overused and then you
00:31:07.450 --> 00:31:10.470
ignore that, right? One of the things I've toyed
00:31:10.470 --> 00:31:12.509
with, but I think I never did it because it just
00:31:12.509 --> 00:31:15.029
felt too risky, was like using Suno and creating
00:31:15.029 --> 00:31:17.769
a song about the person that I'm targeting and
00:31:17.769 --> 00:31:19.589
their brand and how we could work together for
00:31:19.589 --> 00:31:22.759
an amazing future. having it like a quite a funny
00:31:22.759 --> 00:31:25.400
like upbeat country or something like that um
00:31:25.400 --> 00:31:28.599
but then but why not but why not why wouldn't
00:31:28.599 --> 00:31:30.980
you do it i'm just curious why wouldn't i do
00:31:30.980 --> 00:31:33.460
it i don't know i didn't do a huge amount of
00:31:33.460 --> 00:31:35.180
prospecting anyway very lucky i had a lot of
00:31:35.180 --> 00:31:39.920
inbound traffic um and it was just about risk
00:31:39.920 --> 00:31:42.660
management for me it's like risk reward i didn't
00:31:42.660 --> 00:31:45.160
really need i mostly thought it was a cool idea
00:31:45.160 --> 00:31:48.740
rather than like a deep need in me like we need
00:31:48.740 --> 00:31:50.779
the business i've got to i've got to break through
00:31:50.779 --> 00:31:53.759
the noise this is how i'm going to do it challenge
00:31:53.759 --> 00:31:56.619
a little bit like what's the downside they respond
00:31:56.619 --> 00:32:00.720
to be like wow this song sucks like they're probably
00:32:00.720 --> 00:32:03.119
not gonna i mean not gonna hold it against you
00:32:03.119 --> 00:32:05.079
as a company probably right and i think if you
00:32:05.079 --> 00:32:08.099
own it like hey you know we'd love to work together
00:32:08.099 --> 00:32:11.319
and i made this like really fun little ai song
00:32:11.319 --> 00:32:13.480
for you you might hate it but let me know what
00:32:13.480 --> 00:32:16.950
you think like that kind of message is uh I think
00:32:16.950 --> 00:32:20.109
no downside in that. And if the person honestly
00:32:20.109 --> 00:32:24.069
doesn't respond super negatively to it, then
00:32:24.069 --> 00:32:26.849
they suck as a person and you probably don't
00:32:26.849 --> 00:32:29.869
want to work with them anyway. Now I want you
00:32:29.869 --> 00:32:32.230
to go test this theory for me and then maybe
00:32:32.230 --> 00:32:33.869
it works really well and then it gets saturated
00:32:33.869 --> 00:32:36.509
and then you and no one else can do it anymore.
00:32:36.650 --> 00:32:38.250
And that's where the arms race comes in, I think.
00:32:38.549 --> 00:32:40.829
Yeah, but I would challenge that too and say
00:32:40.829 --> 00:32:43.680
like... Video messaging has been around for so
00:32:43.680 --> 00:32:47.759
long and nobody gets them. Nobody uses it. It
00:32:47.759 --> 00:32:52.359
is still like Greenfield, Blue Ocean. Nobody
00:32:52.359 --> 00:32:54.740
does it. And it's like one of the best ways that
00:32:54.740 --> 00:32:58.700
you can be personable to somebody. I think that
00:32:58.700 --> 00:33:02.049
you and I... live in a bubble of like we see
00:33:02.049 --> 00:33:03.849
this stuff and we're like probably people are
00:33:03.849 --> 00:33:06.250
going to do this and so if they do it if we do
00:33:06.250 --> 00:33:08.250
it then everybody's going to do it but nobody
00:33:08.250 --> 00:33:10.210
does it i don't think people catch on to this
00:33:10.210 --> 00:33:15.009
stuff i think that um it's very rare that if
00:33:15.009 --> 00:33:17.109
you come up with something kind of really interesting
00:33:17.109 --> 00:33:19.390
and novel to your point of sending like a song
00:33:19.390 --> 00:33:21.910
that's custom made for somebody i don't think
00:33:21.910 --> 00:33:25.930
very many people will do it and even if 10 people
00:33:25.930 --> 00:33:28.900
do it or 20 people do it It's not going to oversaturate,
00:33:28.900 --> 00:33:31.700
you know. I guess you're right. Why do you think
00:33:31.700 --> 00:33:34.779
that video and these other things that to you
00:33:34.779 --> 00:33:36.700
and I seem like they must be saturated by now,
00:33:36.759 --> 00:33:39.559
why are people not doing it? It takes work. You
00:33:39.559 --> 00:33:40.819
think that's when it comes down to it? That's
00:33:40.819 --> 00:33:43.460
the answer. Yeah, most people are lazy. I think
00:33:43.460 --> 00:33:46.220
that's the answer. Most people are lazy and they
00:33:46.220 --> 00:33:47.799
just won't put in the effort to actually do it.
00:33:48.430 --> 00:33:50.789
So I think it's really easy. It's really easy
00:33:50.789 --> 00:33:53.029
to have AI write text and load up an email and
00:33:53.029 --> 00:33:55.549
send it. It's a lot harder to connect with somebody
00:33:55.549 --> 00:33:58.950
on LinkedIn and then click this button that makes
00:33:58.950 --> 00:34:01.190
you feel very vulnerable that pops a screen up
00:34:01.190 --> 00:34:03.890
in front of you where you now have to like create
00:34:03.890 --> 00:34:06.450
a video and then send it to that person. So we
00:34:06.450 --> 00:34:08.269
can, in theory, we're going to get to test your
00:34:08.269 --> 00:34:10.550
hypothesis because if all of these tools made
00:34:10.550 --> 00:34:13.730
this almost click button easy, right? Like here's
00:34:13.730 --> 00:34:15.809
a prospect research, basically your whole clay
00:34:15.809 --> 00:34:18.679
work for you mentioned. but also right through
00:34:18.679 --> 00:34:21.539
to recording a video and in like an ai video
00:34:21.539 --> 00:34:25.039
and sending it um that should be click of the
00:34:25.039 --> 00:34:26.679
button and then we'll see if people will actually
00:34:26.679 --> 00:34:31.559
engage and do it again i don't know people are
00:34:31.559 --> 00:34:33.320
going to take the time to do it but yeah if they
00:34:33.320 --> 00:34:36.530
do great and if you do this send us like send
00:34:36.530 --> 00:34:38.369
us the results i'd love to see it but i just
00:34:38.369 --> 00:34:40.610
i still don't think enough people are going to
00:34:40.610 --> 00:34:42.409
spend the time to learn how to set this up in
00:34:42.409 --> 00:34:44.309
clay learn how to connect to different systems
00:34:44.309 --> 00:34:47.150
and so if you are one of those people you have
00:34:47.150 --> 00:34:50.610
a very distinct advantage and this is why i keep
00:34:50.610 --> 00:34:52.889
talking about on a regular basis is like this
00:34:52.889 --> 00:34:55.789
is an opportunity to completely revamp your skill
00:34:55.789 --> 00:34:59.869
set that has probably never happened in my lifetime
00:34:59.869 --> 00:35:02.230
other than maybe like the start of the internet
00:35:02.230 --> 00:35:04.590
right it's like like this hasn't really happened
00:35:04.590 --> 00:35:08.789
and so Yeah, I think it's a really interesting
00:35:08.789 --> 00:35:11.409
opportunity for people to rebuild their skillset,
00:35:11.489 --> 00:35:13.789
to really stand out. And then you can leverage
00:35:13.789 --> 00:35:17.030
that to get like pretty much any job you want
00:35:17.030 --> 00:35:20.329
if you become really good at it. So here we go
00:35:20.329 --> 00:35:24.289
then. Obviously, like everyone, Harris and I
00:35:24.289 --> 00:35:26.849
get a lot of LinkedIn messages and a lot of emails
00:35:26.849 --> 00:35:30.070
of people trying to sell us stuff. We will reply
00:35:30.070 --> 00:35:34.670
to you if you send us a song about us. I'm in.
00:35:35.019 --> 00:35:37.519
Dude, I would love that. Honestly, one way that
00:35:37.519 --> 00:35:38.760
people could do it, I'll tell you, here's the
00:35:38.760 --> 00:35:42.199
playbook. Go take this. This will get posted,
00:35:42.300 --> 00:35:44.820
I think, on YouTube, right? Yeah. Yeah, this
00:35:44.820 --> 00:35:47.980
will get on YouTube. So go and get the transcript
00:35:47.980 --> 00:35:52.059
for this video from YouTube. Then take that transcript,
00:35:52.340 --> 00:35:55.920
put it into any of these. What is it? Suno, I
00:35:55.920 --> 00:35:58.389
think, is the one, right? yeah you know how to
00:35:58.389 --> 00:36:00.349
write a have a write a script have it write a
00:36:00.349 --> 00:36:02.130
song or put it in chat you have to write the
00:36:02.130 --> 00:36:06.050
song then upload that into suno then in suno
00:36:06.050 --> 00:36:08.150
have it create the song and then send us the
00:36:08.150 --> 00:36:11.429
song about this podcast that would be that that's
00:36:11.429 --> 00:36:13.730
the that's the challenge for people yeah that
00:36:13.730 --> 00:36:15.389
would be cool all right i expect to see that
00:36:15.389 --> 00:36:19.460
now And if Suno has an API, again, you could
00:36:19.460 --> 00:36:22.480
do this in Clay for all of your prospects. In
00:36:22.480 --> 00:36:24.219
Clay, you'd just basically be able to create
00:36:24.219 --> 00:36:26.519
these custom songs. I actually kind of do this,
00:36:26.539 --> 00:36:28.280
so I might start sending some songs to people.
00:36:29.079 --> 00:36:33.099
I want to know how well that works, especially
00:36:33.099 --> 00:36:35.219
because maybe the arms race is not as real as
00:36:35.219 --> 00:36:37.579
I thought it was, and we don't have to stay ahead
00:36:37.579 --> 00:36:40.579
of people's attention and BS filters quite at
00:36:40.579 --> 00:36:45.539
the level I'd imagined. Another thing I was thinking
00:36:45.539 --> 00:36:48.219
when I was talking about clay, maybe we have
00:36:48.219 --> 00:36:50.199
to go and do this from Rafael Harrison, it can
00:36:50.199 --> 00:36:53.019
be our weekend project, is whether or not you
00:36:53.019 --> 00:36:56.139
could like vibe code something up that would
00:36:56.139 --> 00:36:58.760
achieve this type of outcome, right? Well, okay,
00:36:58.840 --> 00:37:00.460
wait, where are you going with this? Vibe coding
00:37:00.460 --> 00:37:03.480
the front end of like our idea here or vibe coding
00:37:03.480 --> 00:37:08.159
something from clay? I've meant the entire front
00:37:08.159 --> 00:37:10.949
and back end. where it probably uses like an
00:37:10.949 --> 00:37:14.250
air table database or whatever but can you vibe
00:37:14.250 --> 00:37:16.570
code and plug straight into clay because then
00:37:16.570 --> 00:37:20.769
it would be even easier right two okay well i'll
00:37:20.769 --> 00:37:22.769
take this in two ways because i've seen something
00:37:22.769 --> 00:37:24.809
really cool i've never done it because it doesn't
00:37:24.809 --> 00:37:27.190
really apply to me i don't think or i couldn't
00:37:27.190 --> 00:37:31.380
figure out how to apply it as of yet This guy,
00:37:31.440 --> 00:37:34.400
if you're familiar with Lovable, it is one of
00:37:34.400 --> 00:37:36.139
these vibe coding platforms where basically you
00:37:36.139 --> 00:37:38.260
can program in natural language. You type in
00:37:38.260 --> 00:37:39.760
what you wanted to create, it will go create
00:37:39.760 --> 00:37:43.360
that application for you. So he used the Lovable
00:37:43.360 --> 00:37:47.840
API, used it in clay. So he took a company and
00:37:47.840 --> 00:37:50.719
then basically created a prop, like basically
00:37:50.719 --> 00:37:53.260
understood what is it that this company or a
00:37:53.260 --> 00:37:55.079
tool that would be really useful for this company.
00:37:56.079 --> 00:37:59.059
That created whatever, like the idea for the
00:37:59.059 --> 00:38:01.760
tool. Then that tool creates like, okay, there'll
00:38:01.760 --> 00:38:04.320
be a prompt for how I could build this tool that
00:38:04.320 --> 00:38:06.360
could be used in a vibe coding platform that
00:38:06.360 --> 00:38:09.739
generated the prompt. Then the prompt was sent
00:38:09.739 --> 00:38:12.500
to lovable to go and build it. And then it returned
00:38:12.500 --> 00:38:17.429
the deployed URL of that app. So literally. you
00:38:17.429 --> 00:38:20.670
can make custom apps for prospects. So like,
00:38:20.690 --> 00:38:22.469
if you're like a software development company
00:38:22.469 --> 00:38:25.250
or something, like imagine how, and I wanted
00:38:25.250 --> 00:38:28.449
to prospect into like 50 companies, I get a list
00:38:28.449 --> 00:38:30.409
of these 50 companies. I can go and just like
00:38:30.409 --> 00:38:34.010
create 50 MVPs of tools that are useful for them.
00:38:34.309 --> 00:38:35.690
And like, you're probably not going to send it
00:38:35.690 --> 00:38:37.449
right away from there. Like you go in and use
00:38:37.449 --> 00:38:39.289
it. And I just add a couple like tweaks here
00:38:39.289 --> 00:38:41.070
or there. And I've got something that I can send
00:38:41.070 --> 00:38:44.610
as like a really cool lead magnet for them. That's
00:38:44.610 --> 00:38:47.289
a cool idea. I think that's why people who really
00:38:47.289 --> 00:38:51.250
think creatively and come up with these things,
00:38:51.369 --> 00:38:53.349
they don't think, because the other thing is
00:38:53.349 --> 00:38:56.289
like, you could build that and maybe it breaks
00:38:56.289 --> 00:39:00.610
a lot, but in a year it won't. And this is how
00:39:00.610 --> 00:39:02.130
you have to think about AI, right? If you're
00:39:02.130 --> 00:39:04.510
constantly pushing at the capabilities of what
00:39:04.510 --> 00:39:06.809
these different tools, Lovable, Chachi, BT, Sora
00:39:06.809 --> 00:39:09.929
can do, but it's a bit clunky and broken, doesn't
00:39:09.929 --> 00:39:12.260
quite give you the output that you want. You
00:39:12.260 --> 00:39:13.820
have just built something that you'll be able
00:39:13.820 --> 00:39:15.840
to deploy in six months instead when you can
00:39:15.840 --> 00:39:19.019
swap the latest models in. Yeah, like if you
00:39:19.019 --> 00:39:21.179
had built on the original HeyGen, probably wouldn't
00:39:21.179 --> 00:39:23.019
have been very good to send to people. But now
00:39:23.019 --> 00:39:25.059
it's pretty darn good and now it integrates with
00:39:25.059 --> 00:39:27.760
SOAR too. So like you could leverage it for that
00:39:27.760 --> 00:39:30.820
even. So yeah, wild. Yeah, that would be cool.
00:39:31.440 --> 00:39:33.360
The other thing that you talked about was actually
00:39:33.360 --> 00:39:38.239
vibe coding in application. So the way that,
00:39:38.280 --> 00:39:41.940
so the short answer is yes. I am not an engineer
00:39:41.940 --> 00:39:46.280
at all. However, I have built probably like,
00:39:46.280 --> 00:39:48.159
I don't know, maybe like 10 different applications
00:39:48.159 --> 00:39:52.019
now for stuff that we use internally. So like
00:39:52.019 --> 00:39:54.000
there are certain processes that I think are
00:39:54.000 --> 00:39:56.659
better used where I could build a mini app and
00:39:56.659 --> 00:40:00.679
vibe code it using a replet. And then we use
00:40:00.679 --> 00:40:03.059
it internally for like certain automations and
00:40:03.059 --> 00:40:05.340
systems and processes for our team internally.
00:40:06.059 --> 00:40:07.980
But then also I built a few customer -facing
00:40:07.980 --> 00:40:10.260
ones. So we've got this insights tool where you
00:40:10.260 --> 00:40:13.820
plug in your company domain, and it'll generate
00:40:13.820 --> 00:40:18.239
this full report of your differentiators, your
00:40:18.239 --> 00:40:21.219
positioning. We'll pull a list of companies that
00:40:21.219 --> 00:40:23.420
you should target. We'll pull a list of people
00:40:23.420 --> 00:40:25.420
and their email addresses that you could go after.
00:40:25.539 --> 00:40:27.380
We'll write some prospecting messaging that you
00:40:27.380 --> 00:40:29.960
could take and start to tweak. We'll pull together
00:40:29.960 --> 00:40:32.019
discovery questions that you could start to ask
00:40:32.019 --> 00:40:34.059
in your sales calls. And it does all of this
00:40:34.059 --> 00:40:36.570
from simply your domain. Right. That's kind of
00:40:36.570 --> 00:40:38.309
like the lead magnet we built. Built somewhere
00:40:38.309 --> 00:40:41.969
around finding emails for people, built a quota
00:40:41.969 --> 00:40:43.889
calculator. So if you want to understand what
00:40:43.889 --> 00:40:46.070
you have to do to hit your quota, you just plug
00:40:46.070 --> 00:40:48.969
in a couple metrics into the calculator. It builds
00:40:48.969 --> 00:40:50.989
it for you. But it's like a really cool front
00:40:50.989 --> 00:40:55.190
-end UI app that I built in 45 minutes in Replit.
00:40:55.389 --> 00:40:58.349
So when you think about this from a marketing
00:40:58.349 --> 00:41:01.539
perspective... like what are the things that
00:41:01.539 --> 00:41:04.179
would make your prospect or your customers lives
00:41:04.179 --> 00:41:06.219
easier what are tools things that they could
00:41:06.219 --> 00:41:09.099
leverage build them and then give it to them
00:41:09.099 --> 00:41:11.179
and like that is going to be a much better lead
00:41:11.179 --> 00:41:14.460
magnet than the latest white paper or you know
00:41:14.460 --> 00:41:17.400
poster or whatever that every other company is
00:41:17.400 --> 00:41:20.480
doing i love that and i think the other thing
00:41:20.480 --> 00:41:23.119
that you could probably do once you start really
00:41:23.119 --> 00:41:26.559
expanding this out is because if you can automate
00:41:26.559 --> 00:41:30.159
this process in clay And you can start to do
00:41:30.159 --> 00:41:32.960
this at scale and see what tools resonate and
00:41:32.960 --> 00:41:35.480
what don't. Like you could send 10 very similar
00:41:35.480 --> 00:41:38.619
companies 10 different tools. Because you can
00:41:38.619 --> 00:41:40.539
just automate it. It still takes a day and you
00:41:40.539 --> 00:41:42.920
don't do most of the work. And see which tools
00:41:42.920 --> 00:41:46.219
resonate. I read a really interesting use case
00:41:46.219 --> 00:41:49.059
that I don't think we can do in our industry.
00:41:49.699 --> 00:41:52.860
Maybe we could actually. But the concept was
00:41:52.860 --> 00:41:58.239
spin up business ideas through JetGPT. or some
00:41:58.239 --> 00:42:02.119
other model then create ads for those business
00:42:02.119 --> 00:42:06.360
ideas and promote them on facebook meta for and
00:42:06.360 --> 00:42:09.639
just spend like ten dollars per idea and see
00:42:09.639 --> 00:42:11.699
which ones get the most engagement and that's
00:42:11.699 --> 00:42:15.099
what then guides you in terms of what products
00:42:15.099 --> 00:42:16.900
you should develop but like your market research
00:42:16.900 --> 00:42:19.159
becomes not asking what people want but actually
00:42:19.159 --> 00:42:21.599
just advertising to them like this thing exists
00:42:21.599 --> 00:42:25.219
and if they try and buy it yeah and then if they
00:42:25.219 --> 00:42:27.440
try buy it then you build it And of course, I
00:42:27.440 --> 00:42:30.340
think if you're doing that with software, well,
00:42:30.519 --> 00:42:34.139
the build capabilities are now very flexible,
00:42:34.179 --> 00:42:36.760
very fast. So you could probably spin up the
00:42:36.760 --> 00:42:40.599
software product in quite, you know, not much
00:42:40.599 --> 00:42:42.980
time, really. And non -technical people can do
00:42:42.980 --> 00:42:45.139
it, right? I think if you're a marketer, you
00:42:45.139 --> 00:42:47.039
should learn how to use these tools because then
00:42:47.039 --> 00:42:49.199
you don't need an engineer to do this stuff for
00:42:49.199 --> 00:42:51.860
you anymore. Yeah, a friend of mine... You can
00:42:51.860 --> 00:42:53.800
do it. In fact, you know this because Nick went
00:42:53.800 --> 00:42:56.619
on this. We went on Hack Week. Oh, yeah, yeah,
00:42:56.739 --> 00:42:58.940
yeah. I saw your post about it, and I'm like,
00:42:59.000 --> 00:43:01.559
Nick, go do this. Yeah, yeah. It was really cool,
00:43:01.699 --> 00:43:04.360
and I got a huge amount of value out of it. But
00:43:04.360 --> 00:43:07.380
a couple of months later, the single most valuable
00:43:07.380 --> 00:43:11.760
thing was carving some time out to get creative
00:43:11.760 --> 00:43:14.440
and play with. I was using Replit as well, but
00:43:14.440 --> 00:43:16.619
now I'm more using Lovable, but they're basically
00:43:16.619 --> 00:43:18.340
the same thing, aren't they, pretty much? Anyway,
00:43:18.440 --> 00:43:19.960
I say that, but I think it's probably still true
00:43:19.960 --> 00:43:24.300
at this point. To just play with stuff and try
00:43:24.300 --> 00:43:27.260
and build stuff for me. It's almost like for
00:43:27.260 --> 00:43:29.880
the right organizations with the right people,
00:43:29.960 --> 00:43:31.739
maybe you don't have to do this across your whole
00:43:31.739 --> 00:43:33.619
team. Maybe you have to figure out those people
00:43:33.619 --> 00:43:35.900
you mentioned earlier, Harrison, who are a bit
00:43:35.900 --> 00:43:37.679
nerdier, quite like the idea of playing with
00:43:37.679 --> 00:43:39.719
this stuff. It's trying to apply some sort of
00:43:39.719 --> 00:43:43.820
Google 20 % time. Like one day a week, you look
00:43:43.820 --> 00:43:46.639
at some of the work that you're doing and you
00:43:46.639 --> 00:43:49.199
try and think about what front end applications
00:43:49.199 --> 00:43:53.619
you could build using Lovable or whatever to
00:43:53.619 --> 00:43:56.420
help. um you do your you and your team do your
00:43:56.420 --> 00:43:58.659
work better or even more speculatively what cool
00:43:58.659 --> 00:44:01.320
stuff could we do now you've got this you'd use
00:44:01.320 --> 00:44:02.780
that one day a week to go and figure out what
00:44:02.780 --> 00:44:05.800
that cool stuff could be yes i think every company
00:44:05.800 --> 00:44:08.280
should do this i'll give you two examples of
00:44:08.280 --> 00:44:11.659
companies that have done this there is uh if
00:44:11.659 --> 00:44:14.519
you know monday .com monday yeah like there's
00:44:14.519 --> 00:44:18.329
like a project management tool. They had a complete
00:44:18.329 --> 00:44:20.869
whole week. So where some companies might do
00:44:20.869 --> 00:44:22.510
an offsite for like a training or something,
00:44:22.590 --> 00:44:24.590
they did a whole week, flew everybody in the
00:44:24.590 --> 00:44:27.230
same place. And they did basically an AI hackathon
00:44:27.230 --> 00:44:31.909
where everybody figured out and built like real
00:44:31.909 --> 00:44:35.329
AI tools that they could use in their day -to
00:44:35.329 --> 00:44:38.579
-day jobs. and like i think it does so many it
00:44:38.579 --> 00:44:40.340
does so many things one it just gets everybody
00:44:40.340 --> 00:44:42.760
talking about this stuff thinking about it using
00:44:42.760 --> 00:44:47.739
it and then um also like you have if you if you
00:44:47.739 --> 00:44:49.880
spend the time to do this they probably came
00:44:49.880 --> 00:44:52.440
out with like 10 to 20 different ai tools that
00:44:52.440 --> 00:44:54.199
are now going to make their like make them more
00:44:54.199 --> 00:44:56.699
efficient or more effective in their jobs and
00:44:56.699 --> 00:45:00.909
it's like i don't know how This was just never
00:45:00.909 --> 00:45:03.210
possible before. And so if you're not thinking
00:45:03.210 --> 00:45:06.250
in this way, it's just so hard for me to think
00:45:06.250 --> 00:45:08.030
about not thinking in this way, I guess, right?
00:45:08.110 --> 00:45:10.349
It's like, we do this stuff all day, every day.
00:45:11.389 --> 00:45:13.250
Luckily, we're a small team, we're able to do
00:45:13.250 --> 00:45:17.750
that kind of stuff. But yeah, just so much value
00:45:17.750 --> 00:45:20.690
that you can unlock. Yeah, I mean, there's a
00:45:20.690 --> 00:45:23.809
speculative element to it, right? It's one of
00:45:23.809 --> 00:45:26.809
the frustrating things about the current tools,
00:45:26.949 --> 00:45:28.550
although again, they're getting better all the
00:45:28.550 --> 00:45:32.590
time, is they break a lot like something that
00:45:32.590 --> 00:45:36.409
not every output i get is a 45 minute you know
00:45:36.409 --> 00:45:39.090
idea to execution everything works and one of
00:45:39.090 --> 00:45:40.570
the things i found really frustrating during
00:45:40.570 --> 00:45:45.369
the hat week was i think of a new feature so
00:45:45.369 --> 00:45:48.289
i'd ask replit to add the new feature to the
00:45:48.289 --> 00:45:49.869
platform i'd already built and it would break
00:45:49.869 --> 00:45:51.670
three of the old features because it's almost
00:45:51.670 --> 00:45:53.610
like it would forget that those features existed
00:45:53.610 --> 00:45:56.010
or duplicate a database that already existed
00:45:56.010 --> 00:45:58.500
once and now Which version of the database is
00:45:58.500 --> 00:46:00.679
being updated only fuels one feature and not
00:46:00.679 --> 00:46:03.780
the other. So, you know, I don't want to give
00:46:03.780 --> 00:46:06.440
the impression that you can go ask it to build
00:46:06.440 --> 00:46:08.239
you a tool, the tool will be perfect. It's exactly
00:46:08.239 --> 00:46:10.900
the same as using AI in any other context. You're
00:46:10.900 --> 00:46:12.559
going to have to have a conversation. Something
00:46:12.559 --> 00:46:14.320
that you think is going to take 10 minutes is
00:46:14.320 --> 00:46:16.480
probably going to take three hours and be quite
00:46:16.480 --> 00:46:18.480
frustrating along the way. But if you stick at
00:46:18.480 --> 00:46:20.619
it, you will get something really cool that you
00:46:20.619 --> 00:46:23.679
never could have done otherwise. So you need
00:46:23.679 --> 00:46:26.309
that mindset. And I think sometimes... Yeah,
00:46:26.349 --> 00:46:28.449
you need that patience and you need, I think
00:46:28.449 --> 00:46:30.070
you need to have genuine interest in trying to
00:46:30.070 --> 00:46:32.130
build something cool. You probably need to be
00:46:32.130 --> 00:46:33.849
a bit of a builder, really. Otherwise, you're
00:46:33.849 --> 00:46:36.030
probably not going to stick in it. But I can
00:46:36.030 --> 00:46:37.789
see as a business as well that you might be like,
00:46:37.889 --> 00:46:42.190
so I need to send someone off one day a week.
00:46:42.210 --> 00:46:43.630
They're going to play with this stuff, but there
00:46:43.630 --> 00:46:45.889
might not be any outputs because maybe it doesn't
00:46:45.889 --> 00:46:48.309
work. And not all businesses are going to be
00:46:48.309 --> 00:46:49.809
open to that. Not all businesses are going to
00:46:49.809 --> 00:46:51.769
have the flex in their business model to do it.
00:46:51.909 --> 00:46:54.500
But I think if you can, you should, right? yeah
00:46:54.500 --> 00:46:59.139
I definitely agree um the other company I was
00:46:59.139 --> 00:47:02.940
referencing that does this um they have a Friday
00:47:02.940 --> 00:47:06.480
afternoon where the team five codes so it's sort
00:47:06.480 --> 00:47:09.860
of like this optional vibe coding session on
00:47:09.860 --> 00:47:12.820
Friday afternoons so it's like it's a Friday
00:47:12.820 --> 00:47:15.920
afternoon half the people are probably like not
00:47:15.920 --> 00:47:18.039
working at your company anyway and depending
00:47:18.039 --> 00:47:21.059
on how big the company is so like Give them something
00:47:21.059 --> 00:47:23.460
fun to do and have some outputs from it or something.
00:47:24.039 --> 00:47:29.780
I also just think it's very short -sighted to
00:47:29.780 --> 00:47:33.000
probably not be thinking about how your team
00:47:33.000 --> 00:47:34.840
or company could leverage AI more effectively.
00:47:35.659 --> 00:47:38.380
So while there's probably companies out there
00:47:38.380 --> 00:47:41.019
that will say not to use AI in these types of
00:47:41.019 --> 00:47:45.139
ways, I personally think it's short -sighted.
00:47:46.259 --> 00:47:48.500
Yeah, I agree. I mean, I think the other thing
00:47:48.500 --> 00:47:51.500
is it's very easy to say we're going to bring
00:47:51.500 --> 00:47:55.059
AI into how we work, you know, as a senior leader,
00:47:55.159 --> 00:47:57.719
maybe a CEO in the executive team, maybe the
00:47:57.719 --> 00:47:59.360
board are like, what are you doing with AI? And
00:47:59.360 --> 00:48:01.599
you're like, we're going to do some stuff. But
00:48:01.599 --> 00:48:05.019
it's like all bets. Like, it's a bet. You have
00:48:05.019 --> 00:48:07.179
to invest in it. Some stuff's not going to work.
00:48:07.360 --> 00:48:09.989
You have to be patient. you can't throw it out
00:48:09.989 --> 00:48:12.269
like after like two weeks of trying it because
00:48:12.269 --> 00:48:13.590
you didn't quite get what you needed you have
00:48:13.590 --> 00:48:15.130
to figure out what's not working and improve
00:48:15.130 --> 00:48:18.269
it and all that stuff and i don't think you can
00:48:18.269 --> 00:48:20.710
try and tie a metric to this and i think that's
00:48:20.710 --> 00:48:23.449
the thing that people don't like a lot of execs
00:48:23.449 --> 00:48:24.989
or a lot of leadership don't understand it's
00:48:24.989 --> 00:48:28.349
like you can do things that don't always have
00:48:28.349 --> 00:48:33.609
an roi and a metric tied to them like i i This
00:48:33.609 --> 00:48:35.969
is one of the things I love most about what I'm
00:48:35.969 --> 00:48:38.469
doing now, kind of my own company, is that I
00:48:38.469 --> 00:48:41.090
don't have to, if I think an idea is cool, I'm
00:48:41.090 --> 00:48:43.769
just going to do it. I don't have to think about
00:48:43.769 --> 00:48:46.010
what's the ROI for this? What's the metric? What
00:48:46.010 --> 00:48:49.070
is the whatever? I'm going to go do it, see if
00:48:49.070 --> 00:48:51.230
it works. And if it works, awesome. And I'll
00:48:51.230 --> 00:48:53.409
use qualitative feedback just to sometimes determine
00:48:53.409 --> 00:48:57.170
if it works, right? And so I think there's oftentimes...
00:48:57.690 --> 00:49:00.170
when organizations get larger and everything
00:49:00.170 --> 00:49:02.369
has to be metric driven and everything has to
00:49:02.369 --> 00:49:04.809
have a metric and a number tied to it it makes
00:49:04.809 --> 00:49:08.630
it really hard to do fun interesting things what's
00:49:08.630 --> 00:49:11.090
that saying it's not everything that counts can
00:49:11.090 --> 00:49:14.010
be measured or something everything that measured
00:49:14.010 --> 00:49:16.269
will get done or something like that but then
00:49:16.269 --> 00:49:18.250
like but then there's like the flip side which
00:49:18.250 --> 00:49:19.630
is kind of closer i think for what you're saying
00:49:19.630 --> 00:49:22.769
which is like if you can't measure it yeah i
00:49:22.769 --> 00:49:25.329
don't know what the actual one is but yeah but
00:49:25.329 --> 00:49:27.510
obviously like the sentiment is Just because
00:49:27.510 --> 00:49:29.809
you can't set clear measurables around it doesn't
00:49:29.809 --> 00:49:31.429
mean it's not important. And I think one of those
00:49:31.429 --> 00:49:33.650
things that happens, there's a couple of things
00:49:33.650 --> 00:49:35.929
that are interesting. What you learn along the
00:49:35.929 --> 00:49:38.570
way is intangibly valuable, but still can be
00:49:38.570 --> 00:49:41.789
very valuable. Plus, I think the nature of this
00:49:41.789 --> 00:49:44.349
is quite iterative. And what you get at the end
00:49:44.349 --> 00:49:46.750
might not be what you envisaged at the beginning,
00:49:46.809 --> 00:49:49.829
but it's actually 10x better than what you envisaged.
00:49:49.869 --> 00:49:52.570
Because by going through the process, you come
00:49:52.570 --> 00:49:54.269
up against a problem and you have a new idea.
00:49:54.329 --> 00:49:56.780
So you try a new thing. So it's one of those
00:49:56.780 --> 00:50:00.300
very few places where the old adage, start with
00:50:00.300 --> 00:50:02.480
the end in mind, probably doesn't help you out
00:50:02.480 --> 00:50:04.280
that much because you're trying to be creative
00:50:04.280 --> 00:50:06.679
and solve problems in a creative way. And I think
00:50:06.679 --> 00:50:09.019
as long as you have an idea directionally of
00:50:09.019 --> 00:50:11.719
where you're trying to go, I really wish we could
00:50:11.719 --> 00:50:15.460
make our content production process better. Then,
00:50:15.480 --> 00:50:17.219
well, what does that mean? Then you can start
00:50:17.219 --> 00:50:19.079
exploring it and trying different stuff. And
00:50:19.079 --> 00:50:21.440
maybe that's the best way to think about it.
00:50:22.099 --> 00:50:24.610
Yeah, I love that. It's like if you don't play
00:50:24.610 --> 00:50:26.889
with it, you can't figure it out. This is it.
00:50:28.289 --> 00:50:30.050
Right, so a couple of other questions. Have a
00:50:30.050 --> 00:50:31.409
look at what we've got on here on our little
00:50:31.409 --> 00:50:36.949
list. You've talked a bit about clay. Are there
00:50:36.949 --> 00:50:39.449
any other tools that you rely on day in, day
00:50:39.449 --> 00:50:44.150
out when using AI? Well, I think clay is more
00:50:44.150 --> 00:50:46.429
of like the orchestrator of a lot of these things.
00:50:47.110 --> 00:50:52.480
So obviously, like Claude. ChatGPT are core elements
00:50:52.480 --> 00:50:57.960
as well. There are Canva, if we're thinking about
00:50:57.960 --> 00:51:00.480
designing things, Canva is really cool for stuff
00:51:00.480 --> 00:51:04.219
like that. From a messaging perspective, there's
00:51:04.219 --> 00:51:06.099
a really cool company out there called Octave,
00:51:06.239 --> 00:51:09.320
which is where you can create these hubs around
00:51:09.320 --> 00:51:11.480
messaging and create these different messaging
00:51:11.480 --> 00:51:15.679
agents, which is really cool. Airtable is doing
00:51:15.679 --> 00:51:17.500
some cool stuff. Actually, a lot of these project
00:51:17.500 --> 00:51:19.039
management tools are doing some really cool stuff
00:51:19.039 --> 00:51:21.809
with AI. HubSpot's put some really cool stuff
00:51:21.809 --> 00:51:27.070
out with AI. Other tools, I mean, like HeyGen
00:51:27.070 --> 00:51:33.550
obviously is cool. Cursor, that's probably too
00:51:33.550 --> 00:51:35.670
advanced for a lot of people here, but like Cursor
00:51:35.670 --> 00:51:37.670
is a really cool way where you can, it's like
00:51:37.670 --> 00:51:40.610
the advanced version of Replit or Lovable, where
00:51:40.610 --> 00:51:42.210
it's a little bit more engineering heavy, but
00:51:42.210 --> 00:51:43.789
you can do some really awesome stuff with it.
00:51:44.889 --> 00:51:47.389
Yeah, and then the Replits, the Lovables, live
00:51:47.389 --> 00:51:50.239
voting apps. And I'm sure I'm missing something.
00:51:51.159 --> 00:51:53.880
There are loads of different stuff. Oh, Super
00:51:53.880 --> 00:51:55.860
Whisper. Everybody needs to get Super Whisper.
00:51:56.340 --> 00:51:59.539
It's a tool you use to transcribe, but it's a
00:51:59.539 --> 00:52:02.199
different one. So it's like voice to text. It's
00:52:02.199 --> 00:52:04.920
incredible. I use it all the time. I don't write
00:52:04.920 --> 00:52:08.800
prompts to AI anymore. I brain dump speaking
00:52:08.800 --> 00:52:12.059
to it. And it goes so much faster. And it's way
00:52:12.059 --> 00:52:13.980
more effective than trying to type everything.
00:52:15.280 --> 00:52:19.139
And yeah, it's a really good. uh voice to text
00:52:19.139 --> 00:52:22.679
tool yeah typing is where you we've talked about
00:52:22.679 --> 00:52:24.699
this before typing's been dead for a long time
00:52:24.699 --> 00:52:28.719
to me and um i've even got a local large language
00:52:28.719 --> 00:52:32.219
model on my phone now where my keyboard has a
00:52:32.219 --> 00:52:35.179
built -in transcription model but it's on device
00:52:35.179 --> 00:52:37.539
so i you know because a lot of things you might
00:52:37.539 --> 00:52:40.360
speak type on your keyboard you don't want it
00:52:40.360 --> 00:52:43.000
to come off your phone right um but that's pretty
00:52:43.000 --> 00:52:46.219
fast considering it's running on You know, Samsung,
00:52:46.519 --> 00:52:49.579
it's 23 or something. Um, the other thing is
00:52:49.579 --> 00:52:54.139
faster. It'd be on an iPhone. Probably slower
00:52:54.139 --> 00:52:57.800
these days. AI is not Apple's strong suit so
00:52:57.800 --> 00:53:01.019
far. We'll see if they improve over time. That's
00:53:01.019 --> 00:53:03.559
very true. I'm recording this on a Mac, so I'll
00:53:03.559 --> 00:53:06.119
just navigate to where the best platform is for
00:53:06.119 --> 00:53:07.760
the thing I'm trying to do at the time. There
00:53:07.760 --> 00:53:10.519
you go. The thing I really love, I think this
00:53:10.519 --> 00:53:12.239
might be boring for podcast listeners because
00:53:12.239 --> 00:53:14.079
I might have said this last week, but I'm using
00:53:14.079 --> 00:53:15.880
a tool called VoiceSync at the moment, and you
00:53:15.880 --> 00:53:19.659
can choose what model you use, and I'm using
00:53:19.659 --> 00:53:24.469
NVIDIA's new... like super fine -tuned tiny voice
00:53:24.469 --> 00:53:28.090
model and if even if i speak a paragraph it appears
00:53:28.090 --> 00:53:32.909
instantly but cool um and that that i really
00:53:32.909 --> 00:53:35.070
didn't think that latency was going to be that
00:53:35.070 --> 00:53:38.349
important to me but it really is like if i use
00:53:38.349 --> 00:53:41.050
a better model and i have to wait a second or
00:53:41.050 --> 00:53:43.710
two to get it appear on the screen i'd rather
00:53:43.710 --> 00:53:48.429
have instant transcription and fix one or two
00:53:48.429 --> 00:53:50.719
words Because they can move that much faster.
00:53:50.820 --> 00:53:52.900
It's really unbelievable. Yeah, that's really
00:53:52.900 --> 00:53:57.840
cool. I like it. Tell me, Harrison, about an
00:53:57.840 --> 00:54:01.099
AI workflow or tool or something that you thought
00:54:01.099 --> 00:54:03.940
would be really cool and work really well. And
00:54:03.940 --> 00:54:06.619
then it just didn't. And what did you learn?
00:54:07.320 --> 00:54:14.539
I tried to create a like super app myself. So
00:54:14.539 --> 00:54:16.860
I tried to build, I mean, this is still in progress.
00:54:17.039 --> 00:54:19.699
It still could come out one day. um where essentially
00:54:19.699 --> 00:54:22.679
it would be like the only app that we would need
00:54:22.679 --> 00:54:25.579
to run our whole agency so everything that we
00:54:25.579 --> 00:54:27.139
would do and so i was trying to find the whole
00:54:27.139 --> 00:54:29.079
thing building all of these different complex
00:54:29.079 --> 00:54:33.179
workflows working with databases and um it proved
00:54:33.179 --> 00:54:35.659
to be very hard as a non -technical person to
00:54:35.659 --> 00:54:38.599
work through like the slog of bugs and different
00:54:38.599 --> 00:54:41.840
challenges that would come up and so what i have
00:54:41.840 --> 00:54:45.519
like now deferred to is like simple small apps
00:54:45.519 --> 00:54:48.400
that solve very specific problems and then can
00:54:48.400 --> 00:54:50.500
make it in an hour or two, and then it's live.
00:54:50.659 --> 00:54:53.659
People can use it. And it's a lot easier than
00:54:53.659 --> 00:54:56.880
trying to build some gigantic piece of software
00:54:56.880 --> 00:55:00.260
that I don't have the technical expertise to
00:55:00.260 --> 00:55:03.679
update and maintain on a regular basis and just
00:55:03.679 --> 00:55:06.760
get it constantly working. So when you think
00:55:06.760 --> 00:55:08.699
about, this is kind of where I come back to this
00:55:08.699 --> 00:55:11.400
idea for people trying to get started with AI.
00:55:12.000 --> 00:55:15.960
is come up with something small simple easy with
00:55:15.960 --> 00:55:19.099
like defined outcomes that you can build and
00:55:19.099 --> 00:55:22.019
use right away and that will be like a nice win
00:55:22.019 --> 00:55:24.579
and like think about those things before you
00:55:24.579 --> 00:55:28.219
try and build something complex yeah that's that's
00:55:28.219 --> 00:55:30.380
a great story i've experienced that as well i
00:55:30.380 --> 00:55:32.099
got a couple of questions for you on that the
00:55:32.099 --> 00:55:34.739
first thing i just wanted to say though was and
00:55:34.739 --> 00:55:36.099
it's going to contradict what we said earlier
00:55:36.099 --> 00:55:38.679
so hopefully it still makes sense but because
00:55:38.679 --> 00:55:41.710
when i'm working with lovable or replit If I
00:55:41.710 --> 00:55:44.110
have an idea and add another feature, it breaks
00:55:44.110 --> 00:55:46.630
an old feature. One of the things I learned is
00:55:46.630 --> 00:55:49.110
sometimes it's just better to start again with
00:55:49.110 --> 00:55:51.789
a longer prompt that clearly outlines all the
00:55:51.789 --> 00:55:54.789
features you want the final product to have so
00:55:54.789 --> 00:55:57.769
that it builds them all in one go. Because what
00:55:57.769 --> 00:56:00.070
it's been like for me is if it's like dumps of
00:56:00.070 --> 00:56:03.630
like ice cream one on top of the other, like
00:56:03.630 --> 00:56:05.690
the whole thing is really flimsy and melts really
00:56:05.690 --> 00:56:08.469
easily. Yeah, yeah. Like I need to decide what
00:56:08.469 --> 00:56:11.250
that. everything is give it to the tool in one
00:56:11.250 --> 00:56:13.869
go and get a thing out but my question for you
00:56:13.869 --> 00:56:17.750
is have you had any experience like chaining
00:56:17.750 --> 00:56:21.130
your micro tools like can one tool use another
00:56:21.130 --> 00:56:26.239
tool or does that work yes You can. And the way
00:56:26.239 --> 00:56:29.099
you do that is you would tell the tool to create
00:56:29.099 --> 00:56:32.340
a set of public API keys. Again, kind of coming
00:56:32.340 --> 00:56:35.699
back to APIs. So you create a tool that then
00:56:35.699 --> 00:56:38.559
has public API keys that can run certain functions
00:56:38.559 --> 00:56:42.099
in that tool. And then one tool can then send
00:56:42.099 --> 00:56:46.019
API requests to the other tool to then execute
00:56:46.019 --> 00:56:48.360
a function and return it back to that initial
00:56:48.360 --> 00:56:53.190
tool. So an example is... Let's say I wanted
00:56:53.190 --> 00:56:55.610
to build a database of all the leads that we
00:56:55.610 --> 00:56:58.329
might want to target. Well, I can build this
00:56:58.329 --> 00:57:00.309
database. I can enable this database to have
00:57:00.309 --> 00:57:04.190
specific API calls that I might want to enrich
00:57:04.190 --> 00:57:06.550
a lead, to go and get specific fields from a
00:57:06.550 --> 00:57:09.769
particular lead. Then in another app, I might
00:57:09.769 --> 00:57:12.349
have something where I want to, if I plug in
00:57:12.349 --> 00:57:15.349
a person's name and their company, I want it
00:57:15.349 --> 00:57:18.780
to go check this database to see if We have the
00:57:18.780 --> 00:57:20.820
email already for them. And it could easily go
00:57:20.820 --> 00:57:23.320
and do that by simply having like these API calls
00:57:23.320 --> 00:57:26.519
set up. Or in the example of like that insights
00:57:26.519 --> 00:57:29.239
tool I mentioned is I leveraged probably like
00:57:29.239 --> 00:57:32.960
seven different APIs in that tool to then get
00:57:32.960 --> 00:57:34.960
all of the data that we want to show up in that
00:57:34.960 --> 00:57:38.019
tool itself. Yeah, there's definitely a systems
00:57:38.019 --> 00:57:40.039
architecture skill to this in terms of being
00:57:40.039 --> 00:57:42.260
able to break a process down into its constituent
00:57:42.260 --> 00:57:45.679
steps, thinking about what information needs
00:57:45.679 --> 00:57:48.500
to come from where. how it needs to be transformed
00:57:48.500 --> 00:57:51.920
or used step to step i wish it was a strength
00:57:51.920 --> 00:57:53.719
of mine because i really feel like i could build
00:57:53.719 --> 00:57:56.280
better things and more clearly articulate to
00:57:56.280 --> 00:57:59.400
the ai what i want and maybe i can take my fuzzy
00:57:59.400 --> 00:58:01.139
ideas and turn them into system architecture
00:58:01.139 --> 00:58:04.219
it does and that was going to recommend so you
00:58:04.219 --> 00:58:06.260
mentioned at the beginning when you're talking
00:58:06.260 --> 00:58:08.519
about like how do you build these like prompts
00:58:08.519 --> 00:58:10.820
to get all the features built one thing that
00:58:10.820 --> 00:58:14.360
you can do is you can use voice to text and brain
00:58:14.360 --> 00:58:18.260
dump your idea into a chat GPT, put it on thinking
00:58:18.260 --> 00:58:20.639
mode and say, build me a product requirements
00:58:20.639 --> 00:58:23.980
document for this product. And then it will go
00:58:23.980 --> 00:58:25.400
through and think through all the architecture
00:58:25.400 --> 00:58:27.219
stuff and think through all of the different
00:58:27.219 --> 00:58:29.739
features and user flows. And then you can edit
00:58:29.739 --> 00:58:34.619
it more. And then you give that prompt to replant
00:58:34.619 --> 00:58:37.500
and say, build this. Thanks. And then it will
00:58:37.500 --> 00:58:39.920
go and build that prompt and then build the product.
00:58:41.289 --> 00:58:43.530
And you still have to debug along the way, but
00:58:43.530 --> 00:58:45.710
you're creating much better. You're using it
00:58:45.710 --> 00:58:48.710
as like a meta prompt. That's my Saturday and
00:58:48.710 --> 00:58:52.650
Sunday sorted, Harrison. As we sort of drift
00:58:52.650 --> 00:58:54.429
towards the end of our conversation here, a couple
00:58:54.429 --> 00:58:57.429
of questions more about the future. So just for
00:58:57.429 --> 00:59:00.269
you, looking ahead sort of over the next 12 months,
00:59:00.590 --> 00:59:03.250
what do you think is overhyped at the moment
00:59:03.250 --> 00:59:06.789
in terms of its impact on your role? And conversely,
00:59:06.789 --> 00:59:08.289
what do you think is actually going to quietly
00:59:08.289 --> 00:59:12.829
change how... sales pros marketers do their work
00:59:12.829 --> 00:59:16.110
take the second one first um the second one i
00:59:16.110 --> 00:59:22.250
think that uh sdrs and prospecting is going to
00:59:22.250 --> 00:59:26.150
become almost obsolete and be handled by a singular
00:59:26.150 --> 00:59:29.190
human being that is incredible at using all of
00:59:29.190 --> 00:59:31.369
these different tools and systems so somebody
00:59:31.369 --> 00:59:33.849
who can basically become like an architect of
00:59:33.849 --> 00:59:37.139
your like go -to -market processes so they can
00:59:37.139 --> 00:59:39.739
set up systems to listen for different signals
00:59:39.739 --> 00:59:43.420
news hiring promotions publications that come
00:59:43.420 --> 00:59:45.219
out all of that type of stuff they listen for
00:59:45.219 --> 00:59:48.239
it comes into a tool like clay things get filtered
00:59:48.239 --> 00:59:51.360
messaging gets drafted messaging gets sent inbound
00:59:51.360 --> 00:59:54.679
leads come into your system there's literally
00:59:54.679 --> 00:59:57.800
no excuse anymore to not follow up on leads right
00:59:57.800 --> 00:59:59.179
i think one of the questions you're going to
00:59:59.179 --> 01:00:00.980
ask is about lead scoring i think league swing
01:00:00.980 --> 01:00:04.440
is a bunch of bogus and like follow up with everybody.
01:00:04.659 --> 01:00:06.380
There's no excuse to not follow up with anybody.
01:00:06.679 --> 01:00:09.119
There was always never an excuse, but salespeople
01:00:09.119 --> 01:00:10.880
had time that they had to spend on this stuff.
01:00:11.039 --> 01:00:14.099
So as marketers, automate that process. Build
01:00:14.099 --> 01:00:16.780
and write personalized custom one -to -one messages
01:00:16.780 --> 01:00:18.940
to every single lead that get followed up with
01:00:18.940 --> 01:00:21.440
within five minutes. Guaranteed, you will convert
01:00:21.440 --> 01:00:25.500
infinitely more people into meetings, into opportunities.
01:00:26.239 --> 01:00:29.380
I think these things are just going to be all
01:00:29.380 --> 01:00:31.199
centralized around a person who's really good
01:00:31.199 --> 01:00:35.070
at this stuff. And what that's going to do is
01:00:35.070 --> 01:00:37.809
free up the sales reps to focus on their top
01:00:37.809 --> 01:00:40.349
tier accounts, right? Where you still want that
01:00:40.349 --> 01:00:42.349
human element, right? So there's like this other
01:00:42.349 --> 01:00:44.690
component, which you think of, how do I prioritize
01:00:44.690 --> 01:00:47.329
all of the accounts in my territory? How do I
01:00:47.329 --> 01:00:49.909
prioritize everything within our total addressable
01:00:49.909 --> 01:00:52.409
market? With tools like Clay and these other
01:00:52.409 --> 01:00:54.789
data sources out there, you can now literally
01:00:54.789 --> 01:00:57.190
pull a list of every single company, every single
01:00:57.190 --> 01:00:59.429
person in your total addressable market. You
01:00:59.429 --> 01:01:01.860
can score them, you can rank them. pass some
01:01:01.860 --> 01:01:05.199
off to sales you own these we take this whole
01:01:05.199 --> 01:01:08.059
long tail sales is now focused and they're held
01:01:08.059 --> 01:01:10.380
accountable to everything going on at those top
01:01:10.380 --> 01:01:12.440
accounts so those top you know sorts of people
01:01:12.440 --> 01:01:15.219
that they're going after and then this like long
01:01:15.219 --> 01:01:17.659
tail gets bubbled up to sales when they're ready
01:01:17.659 --> 01:01:20.679
and so i think like architecting these systems
01:01:20.679 --> 01:01:24.179
in a way is like very much the now and future
01:01:24.179 --> 01:01:29.070
that companies should be moving towards And I
01:01:29.070 --> 01:01:30.389
just gave a couple of examples of workflows,
01:01:30.590 --> 01:01:31.989
but like there's probably infinitely more that
01:01:31.989 --> 01:01:34.190
I'm just, you know, we probably don't have time
01:01:34.190 --> 01:01:36.550
to talk through. Yeah. I love the use of the
01:01:36.550 --> 01:01:38.949
word conductor. Like sometimes people ask me,
01:01:39.010 --> 01:01:41.630
especially people earlier in their career, like
01:01:41.630 --> 01:01:44.110
how should I respond to all these things that
01:01:44.110 --> 01:01:46.010
are going on in AI? And there's a lot of advice
01:01:46.010 --> 01:01:48.289
out there and a lot of it's really good in terms
01:01:48.289 --> 01:01:51.510
of stay up to date on what, you know, different
01:01:51.510 --> 01:01:54.670
tools can do and where AI is headed. Become an
01:01:54.670 --> 01:01:57.369
AI native and be prepared to play with all these
01:01:57.369 --> 01:01:58.989
tools exactly like we've talked about today.
01:01:59.150 --> 01:02:01.670
But one of the roles I do think is going to become
01:02:01.670 --> 01:02:05.630
critical in organizations is the conductor. The
01:02:05.630 --> 01:02:09.630
one who is able to leverage these tools to deliver
01:02:09.630 --> 01:02:13.090
different tasks, bring the outputs together to
01:02:13.090 --> 01:02:16.630
generate meaningful work and outcomes and troubleshoot
01:02:16.630 --> 01:02:18.670
and debug and improve them when they break, which
01:02:18.670 --> 01:02:22.260
I suspect they will break a lot. which is probably
01:02:22.260 --> 01:02:25.679
going to be quite a weird hybrid of subject matter
01:02:25.679 --> 01:02:29.000
expertise in the thing, like knowing what good
01:02:29.000 --> 01:02:32.119
prospecting looks like and knowing how you should
01:02:32.119 --> 01:02:35.300
combine all of these things, but also a technical
01:02:35.300 --> 01:02:38.340
capability that is associated with optimizing
01:02:38.340 --> 01:02:40.880
and improving the tools, stress testing the tools,
01:02:41.000 --> 01:02:43.519
fixing them when they break. And so that's probably,
01:02:43.579 --> 01:02:45.199
I think, where people are going to end up spending
01:02:45.199 --> 01:02:47.860
a lot of their time to train into the roles of
01:02:47.860 --> 01:02:53.079
tomorrow. I agree. I agree. Where do you think
01:02:53.079 --> 01:02:55.340
it's going to be overhyped? Why is everybody
01:02:55.340 --> 01:02:57.320
talking about this amazing right now that's going
01:02:57.320 --> 01:03:01.019
to take longer than everybody thinks? I don't
01:03:01.019 --> 01:03:04.639
really personally believe that we're going to
01:03:04.639 --> 01:03:08.659
get to this AGI type of thing anytime soon, where
01:03:08.659 --> 01:03:11.679
it's this super intelligence that's going to
01:03:11.679 --> 01:03:14.639
be able to be good at very specific things. I
01:03:14.639 --> 01:03:17.940
think we're going to have... the models will
01:03:17.940 --> 01:03:19.920
be great but they're always going to need to
01:03:19.920 --> 01:03:22.300
be fine -tuned for a period of time and so like
01:03:22.300 --> 01:03:24.099
there's all this like hype and talk about like
01:03:24.099 --> 01:03:26.300
we're going to hit AGI super intelligence is
01:03:26.300 --> 01:03:29.780
on the way and it's like baby but like in reality
01:03:29.780 --> 01:03:31.880
it's probably going to show up at point solutions
01:03:31.880 --> 01:03:34.239
and very specific workflows where that expertise
01:03:34.239 --> 01:03:37.679
comes in where you have that like level of um
01:03:37.679 --> 01:03:40.380
like the value actually is going to come from
01:03:40.380 --> 01:03:45.340
the specificity not the like PhD level GPT -5.
01:03:45.960 --> 01:03:48.579
Like, it's going to be in the, like, 27 -page
01:03:48.579 --> 01:03:51.440
document that you have where you outline exactly
01:03:51.440 --> 01:03:55.639
what to do in each scenario. And I think that
01:03:55.639 --> 01:03:58.840
that's still going to be the case. So we'll still
01:03:58.840 --> 01:04:01.280
need a lot of humans to manage and handle that
01:04:01.280 --> 01:04:05.860
stuff. Yeah, it still feels incredibly fragmented.
01:04:06.119 --> 01:04:07.599
Like, even the fact that we're talking about
01:04:07.599 --> 01:04:10.019
creating micro tools that we then have to find
01:04:10.019 --> 01:04:11.739
a clever way to make them play well together,
01:04:11.880 --> 01:04:13.239
and then most of the time they're still going
01:04:13.239 --> 01:04:17.170
to break. Yeah. That's annoying for you and I,
01:04:17.269 --> 01:04:19.989
when we spend a lot of time and are willing to
01:04:19.989 --> 01:04:23.150
invest a lot of time in playing with them. For
01:04:23.150 --> 01:04:26.070
your average marketer or salesperson and a team
01:04:26.070 --> 01:04:28.849
that may not have that time or interest and they
01:04:28.849 --> 01:04:31.130
just need it to work, it feels like we're still
01:04:31.130 --> 01:04:33.429
quite a long way away from that. So it's quite
01:04:33.429 --> 01:04:35.389
a weird time from that perspective. But then
01:04:35.389 --> 01:04:38.929
the speed that things are moving at is kind of
01:04:38.929 --> 01:04:40.690
hard to quantify. And I was listening to a podcast
01:04:40.690 --> 01:04:44.139
yesterday, Sam Morton was on the... Is it A16Z?
01:04:44.260 --> 01:04:45.980
I think that's what the investment firms call
01:04:45.980 --> 01:04:49.360
Marc Andreessen. And it was the first time I'd
01:04:49.360 --> 01:04:52.219
ever heard or the first time in recent times
01:04:52.219 --> 01:04:55.760
that I've heard someone, a senior person at an
01:04:55.760 --> 01:05:00.079
AI company or lab say, what we are seeing internally
01:05:00.079 --> 01:05:02.780
is one to two years ahead of what's in the market.
01:05:02.960 --> 01:05:06.219
Because basically it was justifying why they're
01:05:06.219 --> 01:05:08.840
making all these bets and spending all this money.
01:05:10.320 --> 01:05:12.380
in a sort of backwards way he said you know you
01:05:12.380 --> 01:05:15.940
wouldn't invest that money if you didn't see
01:05:15.940 --> 01:05:19.639
what was coming sure yeah um whereas i think
01:05:19.639 --> 01:05:21.559
that sounds like a hype message to me though
01:05:21.559 --> 01:05:24.460
i mean he's probably true i'm sure it's probably
01:05:24.460 --> 01:05:26.019
true but like he's probably out there marketing
01:05:26.019 --> 01:05:28.559
at the same time that he says that always and
01:05:28.559 --> 01:05:30.880
this is so hard now to know what you can trust
01:05:30.880 --> 01:05:34.800
probably nothing um Especially now that his avatar
01:05:34.800 --> 01:05:36.920
is on Sora 2 and there's all these different
01:05:36.920 --> 01:05:40.219
videos being made of him. That's so funny. That's
01:05:40.219 --> 01:05:42.699
quite cool. That's quite brave of him to say,
01:05:42.820 --> 01:05:44.820
I'm going to stick my neck out. I'm going to
01:05:44.820 --> 01:05:46.780
be the first one that makes their avatar available.
01:05:47.460 --> 01:05:53.579
Yeah. When it comes to AI, what's the thing that
01:05:53.579 --> 01:05:57.039
you're most excited about? Yeah, I don't actually
01:05:57.039 --> 01:06:00.739
know. I'm already excited. I am like, this is...
01:06:00.920 --> 01:06:02.860
Like this is all like fun. Like everything is
01:06:02.860 --> 01:06:05.500
enjoyable. Like it's fun. And I think that's
01:06:05.500 --> 01:06:07.059
the thing that excites me is like, how is this
01:06:07.059 --> 01:06:08.860
going to become more fun, more entertaining,
01:06:09.000 --> 01:06:11.079
where we can tinker more, we can build more things.
01:06:11.159 --> 01:06:13.780
Like there's less limitations on what is possible.
01:06:14.079 --> 01:06:16.679
I think that's like a continuation of where we're
01:06:16.679 --> 01:06:19.260
at today. That's kind of where I'm at. It's fun.
01:06:19.380 --> 01:06:21.679
It's a fun time to be being able to play with
01:06:21.679 --> 01:06:24.900
all of this stuff. I appreciate that. So last
01:06:24.900 --> 01:06:27.889
question. What have we not talked about today
01:06:27.889 --> 01:06:29.909
that you think would have been cool to talk about?
01:06:29.989 --> 01:06:32.969
Is there anything still on your mind? We talked
01:06:32.969 --> 01:06:39.929
about a lot of stuff. Not really. I mean, I think
01:06:39.929 --> 01:06:41.289
we talked about a lot of things. I mean, maybe
01:06:41.289 --> 01:06:43.130
the only thing I would say is like, if you want
01:06:43.130 --> 01:06:47.210
any advice, help to like build out any of these
01:06:47.210 --> 01:06:49.429
different systems or tools, or you just need
01:06:49.429 --> 01:06:51.289
help building top of funnel pipeline, obviously
01:06:51.289 --> 01:06:53.849
reach out to succession .bio. Happy to help.
01:06:53.989 --> 01:06:56.630
So there's my plug. Yeah, no, I love that. I
01:06:56.630 --> 01:06:58.889
was going to ask you to give me contact details
01:06:58.889 --> 01:07:00.289
so people get in touch with you. But I think
01:07:00.289 --> 01:07:01.730
you raised a really important point. It's come
01:07:01.730 --> 01:07:03.710
up a number of times in the podcast today, which
01:07:03.710 --> 01:07:07.050
is some people love tinkering and playing and
01:07:07.050 --> 01:07:09.550
building. And some people want something that
01:07:09.550 --> 01:07:11.349
works because they've got results to deliver.
01:07:11.809 --> 01:07:14.909
And I think, and I don't think there's any, if
01:07:14.909 --> 01:07:18.769
there has been in this podcast, I haven't seen
01:07:18.769 --> 01:07:20.829
one. There's no value judgment in that. It's
01:07:20.829 --> 01:07:22.969
different people are good at different things
01:07:22.969 --> 01:07:27.030
and they enjoy. different things so for those
01:07:27.030 --> 01:07:29.530
of you that find this stuff nerdy cool and want
01:07:29.530 --> 01:07:31.570
to go play with it hopefully you feel encouragement
01:07:31.570 --> 01:07:35.289
to go play with it if you are a get stuff done
01:07:35.289 --> 01:07:38.630
outcomes i i want the outcomes of that stuff
01:07:38.630 --> 01:07:41.550
i don't want to build it myself go find people
01:07:41.550 --> 01:07:44.909
who like to build the stuff and then you can
01:07:44.909 --> 01:07:48.309
surf the waves they create to like massively
01:07:48.309 --> 01:07:50.889
amplify the impact that you can have and that's
01:07:50.889 --> 01:07:53.250
where you can work with people like Harrison
01:07:53.250 --> 01:07:56.969
on the sales side. We have a consulting and AI
01:07:56.969 --> 01:07:59.849
implementation arm at Supreme Group when it comes
01:07:59.849 --> 01:08:02.489
to more of the marketing side. There are plenty
01:08:02.489 --> 01:08:04.329
of people out there now who've been developing
01:08:04.329 --> 01:08:06.449
these skills that you can leverage to help you
01:08:06.449 --> 01:08:10.309
get better results. So on that note, thank you
01:08:10.309 --> 01:08:11.809
so much for coming on, Harrison. It's been a
01:08:11.809 --> 01:08:13.710
pleasure to hang out with you. Thank you. The
01:08:13.710 --> 01:08:16.270
podcast is back. I'm excited to be the second
01:08:16.270 --> 01:08:20.319
guest on the second iteration of the show. Pleasure's
01:08:20.319 --> 01:08:22.439
been all ours, and I'm sure I'll see you soon.
01:08:22.500 --> 01:08:24.180
Cheers, buddy. Of course. Yeah, man. Have a good
01:08:24.180 --> 01:08:27.779
one. Talk to you later. Thank you for listening
01:08:27.779 --> 01:08:30.899
to Artificially Intelligent Marketing. To stay
01:08:30.899 --> 01:08:34.000
on top of the latest trends, tips, and tools
01:08:34.000 --> 01:08:37.500
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01:08:38.000 --> 01:08:40.579
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